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Format: 1 online resource (341 pages)

Edition: 1st ed.

ISBN: 9783030050757

Series Statement: Demographic Research Monographs

Note: Intro -- Preface -- Contents -- Chapter 1: Introduction -- 1.1 The Need for Accurate Mortality Forecasts Is Greater Than Ever Before -- 1.2 Determinants and Dynamics of Life Expectancy - Pensions Are Upping the Ante for the Challenge Facing the Art of Projecting... -- 1.3 Cause of Death Forecasts -- 1.4 Period and Cohort Perspectives -- 1.5 Joint Forecasting of Mortality in Similar Populations -- 1.6 From Scenarios to Stochastic Modelling -- 1.7 How Conditions in Early Life Affect Mortality in Later Life -- 1.8 The Increasing Gap in Life Expectancy with Respect to Position in the Income Distribution -- References -- Part I: Current Practice -- Chapter 2: Life Expectancy Is Taking Center Place in Modern National Pension Schemes - A New Challenge for the Art of Projecti... -- 2.1 Introduction -- 2.2 Basic Pension Economics - The Role of Mortality -- 2.3 NDC and FDC Schemes - And Life Expectancy -- 2.4 Itś More Important Than Ever to Project Life Expectancy Accurately -- 2.5 Final Comments -- References -- Chapter 3: Experiences from Forecasting Mortality in Finland -- 3.1 Modeen and Törnqvist -- 3.2 Official Forecasts -- 3.3 Predictive Distribution of Mortality -- 3.4 Applications -- References -- Chapter 4: Mortality Projections in Norway -- 4.1 A Brief Description of the Norwegian Population Projection Model -- 4.2 A Short History of Mortality Projections in Norway -- 4.3 Current Methodology of Mortality Projections -- 4.3.1 Target Life Expectancies -- 4.3.2 Difference in Target e0 for Males and Females -- 4.3.3 Life Expectancies in the First Projection Year -- 4.3.4 Path of e0 from the Initial Until the Target Year -- 4.3.5 Slope of e0 in the Target Year -- 4.3.6 Alternative Mortality Assumptions -- 4.3.7 Age Groups -- 4.3.8 Cohort Mortality -- 4.4 Age-Specific Trends in Mortality Rates -- 4.5 Projections of Age-Specific Mortality Rates. , 4.6 Projection Results -- References -- Chapter 5: Mortality Assumptions for Sweden. The 2000-2050 Population Projection -- 5.1 Mortality Projection in Sweden -- 5.2 Sharply Lower Mortality in 1950-1999 -- 5.3 Reasons for the Decline in Mortality in 1980-1999 -- 5.4 Higher Average Life Expectancy in 1950-1999 -- 5.5 Future Mortality -- 5.6 Assumptions Used in the Forecast for the Immediate Future -- 5.7 Assumptions Used in the Forecast for the Longer Term -- 5.8 Mortality Trends over the Period 1950-2050 -- 5.9 Higher Average Life Expectancy -- 5.10 Assumptions Regarding Mortality Trends in Some Countries -- 5.11 Alternative Assumptions -- Chapter 6: Forecasting Life Expectancy: The SCOPE Approach -- References -- Chapter 7: Mortality Forecasts. Comments on How to Improve Existing Models - An Epidemiologistś Perspective -- 7.1 Are the Lifespans of Relatives Correlated? -- 7.2 The Relative Effects of Genetic and Environmental Factors on Lifespan -- 7.3 Prediction of Mortality -- 7.4 Conclusion -- References -- Chapter 8: The Need for Looking Far Back in Time When Predicting Future Mortality Trends -- References -- Part II: Probabilistic Models -- Chapter 9: Erroneous Population Forecasts -- 9.1 Forecast Accuracy -- 9.2 Why Population Forecasts Are Inaccurate -- 9.3 Empirical Evidence from Historical Forecasts -- 9.3.1 Forecasts Are More Accurate for Short Than for Long Forecast Durations -- 9.3.2 Forecasts Are More Accurate for Large Than for Small Populations -- 9.3.3 Forecasts of the Old and the Young Tend to Be Less Accurate Than Those of Intermediate Age Groups -- 9.3.4 Accuracy Differs Between Components and Regions -- 9.4 The Expected Accuracy of Current Forecasts -- 9.5 Probabilistic Forecasts: An Alternative to Forecast Variants -- 9.6 Challenges in Probabilistic Population Forecasting -- References. , Chapter 10: Remarks on the Use of Probabilities in Demography and Forecasting -- 10.1 Introduction -- 10.2 Binomial and Poisson Models -- 10.3 Random Rates -- 10.4 Handling of Trends -- 10.5 On Judgment and Subjectivity in Statistical Modeling -- 10.6 On the Interpretation of Probabilities -- 10.7 Eliciting Expert Views on Uncertainty -- References -- Chapter 11: An Expert Knowledge Approach to Stochastic Mortality Forecasting in the Netherlands -- 11.1 Introduction -- 11.2 Stochastic Population Forecasts: Methodology -- 11.2.1 An Analysis of Errors of Past Forecasts -- 11.2.2 Model-Based Estimate of Forecast Errors -- 11.2.3 Expert Judgement -- 11.3 Using Expert Knowledge -- 11.4 Expert Knowledge in the Dutch Stochastic Mortality Forecasts -- 11.5 Conclusions -- Appendix: An Explanatory Model for Dutch Mortality -- References -- Chapter 12: Stochastic Forecasts of Mortality, Population and Pension Systems -- 12.1 Introduction -- 12.2 Stochastic Forecasts -- 12.3 Mortality Forecasts -- 12.4 From Population to Pension Systems and Policy -- References -- Part III: The Linear Rise in Life Expectancy: History and Prospects -- Chapter 13: The Linear Rise in the Number of Our Days -- 13.1 Better Forecasts -- 13.2 Continuing Belief in Looming Limits -- References -- Chapter 14: Mortality Forecasts and Linear Life Expectancy Trends -- 14.1 Introduction -- 14.2 Linear Change in Life Expectancy over Long Historical Periods -- 14.3 What Is Fundamental, Age at Death or Risk of Death? -- 14.4 Using These Findings to Improve Mortality Forecasts -- 14.5 Considering National Mortality Change in an International Context -- 14.6 Extensions -- 14.6.1 Heterogeneous Targets -- 14.6.2 Heterogeneous Rates of Convergence -- 14.7 Forecasting Mortality -- References -- Chapter 15: Forecasting Life Expectancy: A Statistical Look at Model Choice and Use of Auxiliary Series. , 15.1 Why Forecast Life Expectancy? -- 15.2 Changes in Life Expectancy in 19 Industrialized Countries in 1950-2000 -- 15.3 Conditions on the Usefulness of an Auxiliary Series -- 15.4 Model Choice -- 15.5 Concluding Remarks -- References -- Chapter 16: Life Expectancy Convergence Among Nations Since 1820: Separating the Effects of Technology and Income -- 16.1 Limits and Convergence in Life Expectancy -- 16.2 The Classic Article: Preston (1975) -- 16.3 Extending the Analysis -- 16.4 New Data -- 16.5 National Effects: A Shopping Analogy -- 16.6 Multilevel Models -- 16.7 Model Results -- 16.8 National Patterns -- 16.9 Convergence -- 16.10 Conclusion -- References -- Chapter 17: Linear Increase in Life Expectancy: Past and Present -- 17.1 Descriptive Overview -- 17.2 Causes -- 17.3 Summary and Discussion -- References -- Part IV: Causes of Death -- Chapter 18: How Useful Are the Causes of Death When Extrapolating Mortality Trends. An Update -- 18.1 Extrapolation of Mortality by Cause Risks Absurdity -- 18.2 Would More Sophisticated Methods Be Any Better? -- 18.2.1 A Better Adjustment of Chronological Series of Rates by Age -- 18.2.2 ``Age-Period ́́Adjustment (Lee-Carter Model) -- 18.2.3 ``Age-Period-Cohort ́́Adjustment (APC Model) -- 18.3 The Models Put to the Proof -- 18.4 Conclusion -- References -- Chapter 19: Forecasting Life Expectancy and Mortality in Sweden - Some Comments on Methodological Problems and Potential Appro... -- 19.1 Introduction -- 19.2 The Relationships Between Incidence, Prevalence and Mortality -- 19.3 Extrapolating Mortality Trends or Predicting Disease-Specific Causes of Death -- 19.4 Predicting Mortality Based on Potential Elimination of Causes of Death -- 19.5 Predicting Mortality Based on Development of Risk Factors -- 19.6 Methodological Problems in Predicting Mortality Based on Risk Factor Predictions. , 19.7 Future Mortality and Longevity -- 19.8 Implications for the Future -- References -- Chapter 20: How Analysis of Mortality by Cause of Death Is Currently Influencing UK Forecasts -- 20.1 Mortality Improvement in the UK -- 20.2 Current Methodologies and Research in the UK -- 20.3 Understanding the ``UK Cohort Effect ́́-- 20.4 Modelling Mortality by Cause of Death -- 20.5 Implications and Conclusions -- References -- Part V: Cohort Factors: How Conditions in Early Life Influence Mortality Later in Life -- Chapter 21: A Life Course Perspective to the Modern Secular Mortality Decline and Socioeconomic Differences in Morbidity and M... -- 21.1 The Secular Mortality Decline: Early Life and Cohort Explanations and Their Indicators -- 21.2 Historical Trends and Socioeconomic Mortality Differences in a Life Course and Cohort Perspective -- 21.3 Cohort Effects on Mortality and Mortality Predictions: Indicators and Models -- References -- Chapter 22: Early Life Events and Later Life Health: Twin and Famine Studies -- 22.1 Introduction -- 22.2 Famine Early in Life and Later Life Health -- 22.3 Later Life Health for Twins -- 22.4 Twins and Genetic Confounding -- 22.5 Overview -- References -- Chapter 23: The Month of Birth: Evidence for Declining but Persistent Cohort Effects in Lifespan -- 23.1 Introduction -- 23.2 Data -- 23.3 Methods -- 23.4 Results -- 23.4.1 Differences in Lifespan in the United States, Austria, Denmark and Australia -- 23.4.2 Changes in the Month-of-Birth Pattern over Cohorts in Denmark -- 23.4.3 Changes in the 20-Year Survival Probability by Quarter of Birth in the United States -- 23.5 Discussion -- 23.6 Conclusion -- References -- Chapter 24: Early-Life Conditions and Old-Age Mortality in a Comparative Perspective: Nineteenth Century Sweden and Belgium -- 24.1 Introduction -- 24.2 Models -- 24.3 Data for Scania -- 24.4 Data for Sart. , 24.5 Results.

Additional Edition: Print version: Bengtsson, Tommy Old and New Perspectives on Mortality Forecasting Cham : Springer International Publishing AG,c2019 ISBN 9783030050740

Language: English

Subjects: Medicine , Sociology

Keywords: Electronic books. ; Aufsatzsammlung ; Electronic books

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Format: 1 Online-Ressource (294 p.)

ISBN: 1847551408 , 9781847551405

Note: This product is not available separately, it is only sold as part of a set. There are 750 products in the set and these are all sold as one entity, Speciation is one of the growing features of analytical chemistry of this decade. It is now widely recognized that the determination of total trace element contents is no longer sufficient - understanding pathways of trace elements depends on specific chemical forms, such as oxidation states, organometallic compounds, etc. However, lack of quality control of speciation often hampers the comparability of data within and between laboratories. Considering the high number of analyses performed by a wide range of EC laboratories, the SM&T programme (formerly BCR) of the European Commission has launched collaborative projects to improve the state-of-the-art of speciation analysis in Europe. Method Performance Studies for Speciation Analysis presents an overview of these recent studies. As well as discussion of the techniques used, their performance as applied to real-case analyses and possible sources of error, the preparation of Certified Reference Materials for the validation of methods used is also described. With its broad coverage and in-depth discussions, which encompass the work of eminent European experts, this unique book will be essential reading for laboratory staff in industry, academia and government

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Format: 1 online resource (XVII, 532 p. 28 illus.)

Edition: Online edition Springer Lecture Notes Archive ; 041142-5

ISBN: 3-540-45962-6

Series Statement: Lecture Notes in Earth Sciences, 19

Content: GPS-Techniques Applied to Geodesy and Surveying contains the proceedings of an international workshop held in April 1988 at the Technical University in Darmstadt, Germany. It presents a state-of-the-art description of GPS techniques applied to geodesy and surveying with emphasis on monitoring time dependent phenomena. Theoretical, numerical, instrumental and rather general aspects of modern satellite positioning are treated. The articles are easy to read; the book addresses newcomers to the field as well as experts.

Note: Bibliographic Level Mode of Issuance: Monograph , Opening address -- Welcome addresses -- More than five years of GPS-experiments — Rethinking of geodesy -- President of the “Arbeitskreis Triangulation of the “Arbeitsgemeinschaft der Vermessungsverwaltungen der Länder der Bundesrepublik Deutschland” -- Geodetic applications with GPS in Norway as part of a global cooperation -- GPS geodesy with centimeter accuracy -- Relativistic effects in GPS -- Relativistic models of phase and Doppler observations of electromagnetic signals -- The use of GPS at IGN : Geodesy, geophysics, engineering -- GPS applications of CTS -- Ageden — An application of GPS for geodynamic investigations in Austria -- Investigation of an alternate method of processing global positioning survey data collected in kinematic mode -- Experiences with the WM 101 GPS receiver -- Åland GPS levelling experiment in 1987 preliminary report on the results -- Experiences with TRIMBLE receivers in the control network of the F. R. G. -- Campaigns with WM101 in Austria 1987 -- Results on long baselines in Europe preliminary comparisons with laser and VLBI solutions -- Supervision of the control network of the federal republic of Germany with macrometer 1983 – 1985 — KONMAC — -- Simulations with the software package of darmstadt for kinematic applications — Some numerical results with a WM 101 — -- An introduction to GPS and its geodetic applications -- System and hardware oriented aspects of GPS- applications -- GPS as local geological control and national geodetic control -- Present state of the Dönav campaign -- Modeling of phase center variation and its influence on GPS-positioning -- Hiking and biking with GPS: The Canadian perspective -- Status of dual frequency GPS development at Trimble Navigation -- Kinematic surveying -- Technological utilization of space with special regard to navigation satellite systems -- The antenna exchange: One aspect of high-precision GPS kinematic survey -- GPS geodesy and kinematic topography measurements and data processing -- Developments for the operational use of gps in kinematic modes -- Terrestrial and aircraft differential kinematic GPS positioning -- Field validation of GPS phase measurements -- Static positioning with the global positioning system (GPS): State of the art -- GPS carrier phases and clock modeling -- World: A multipurpose GPS-network computer package -- PC preprocessing of GPS — TI 4100 navigator data -- Geodynamics of Iceland studied with the aid of terrestrial geodetic and GPS experiments -- Present state of the central Andean GPS-traverse ANSA -- Remarks to the establishment of a regional GPS-tracking network -- Recovering Earth Rotation Parameters with GPS -- A note on monitoring tectonic plate motion using GPS and classical techniques -- Determination of azimuths from GPS measurements and comparison with common methods -- The European tracking network -- World geodetic system 1984 — geodetic reference system of GPS orbits -- Several aspects of solar radiation pressure -- TOPAS a new GPS adjustment system for multistation positioning and orbit determination -- Covariances in 3D network resulting from orbital errors -- A brief summary of the panel discussion at the international GPS workshop Darmstadt 1988 -- Recommendations -- MINI-MAC 2816 dual frequency receiver -- Kinematic land survey demonstration international GPS workshop — Darmstadt, West Germany April 10–14, 1988 -- The international GPS-workshop field tests. , English

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Keywords: Konferenzschrift ; Konferenzschrift

DOI: 10.1007/BFb0011315

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Content: Today, a single laboratory can generate a vast amount of biological data. There is a wealth of data already available in public databases, which makes the modern life sciences almost dependent on bioinformatics. This book brings together an international team of experts to discuss the state-of-the-art from several fields of bioinformatics, from the automatic identification and classification of viruses to the analysis of the transcriptome of single cells and plants, including artificial intelligence algorithms to discover biomarkers and text mining approaches to help in the interpretation of the findings. Machine learning, pattern discovery and analysis, error correction, Bayesian inference and novel computational techniques to discover chromosomal rearrangements continue to play crucial roles in biological discovery, and all of them are explored in chapters of this book. In sum, this book contains high-quality chapters that provide excellent views into key topics of current bioinformatics research, topics that should remain important for the next several years.

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Additional Edition: ISBN 0-645-00171-6

Language: English

Subjects: Computer Science , Biology

Keywords: Aufsatzsammlung

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Format: 1 online resource (xvi, 282 p.).

ISBN: 9781846639555 (electronic bk.) :

Series Statement: Advances in health care management, v. 7

Content: This volume on patient safety revolves around a central question: How can the increased emphasis on patient safety among healthcare managers be translated into better policy and reduced clinical risk? The twelve contributions in this volume are divided between four sections: theoretical perspectives on managing patient safety; top management perspectives on patient safety; health information technology perspectives on patient safety; and organizational behavior and change perspectives on patient safety. The issue of patient safety provides a fertile niche for management researchers to test existing theories and develop new ones.For example, the goal of reducing medical errors while maximizing patient health requires not only an awareness of the tenets of evidence-based medicine, but also the managerial theories of human relations, organizational culture, organizational development, organizational learning, organizational structure, quality improvement, and systems thinking. Indeed, these and other managerial theories are drawn upon and applied by the various contributors. Taken together, the thirty-five authors of this volume demonstrate that the future of patient safety requires healthcare professionals and managers who can successfully engage in multi-faceted projects that are socially and technically complex.

Note: Patient safety : state-of-the-art in health care management and future directions / Eric W. Ford, Grant T. Savage -- Quality and patient safety from the top : a case study of St. Francis medical center governing board's call to action / Louis Rubino, Marsha Chan -- The trustee and patient safety : redefining boundaries / Richard A. Culbertson, Julia A. Hughes -- Protecting the patient : collaborating to achieve the ideal hospital work environment / Donde Batten, Gerald Goodman, Susan M. Distefano -- Privacy, security and the national health information network : a mixed methods case study of state-level stakeholder awareness / Kimberly A. Galt, Karen A. Paschal, Amy Abbott, Andjela Drincic, Mark V. Siracuse, James D. Bramble, Ann M. Rule -- Evidence-based medicine and patient safety : limitations and implications / Grant T. Savage, Eric S. Williams -- Examining barriers to health information technology adoption / James D. Bramble, Mark V. Siracuse, Kimberly A. Galt, Ann M. Rule, Bartholomew E. Clark, Karen A. Paschal -- Improving patient safety through organizational development : considering the opportunities / Ann Scheck McAlearney -- S*t*a*r*t : a great handoff : an approach to effective medical communication in a high-risk environment / Ellen S. Deutsch, Brian Binck, Gina Moore, Ben-Tzion Karsh -- Changing a pediatric sub-acute facility to increase safety and reliability / Daved W. van Stralen, Racquel M. Calderon, Jeff F. Lewis, Karlene H. Roberts -- The anatomy and physiology of error in adverse health care events / Patrick A. Palmieri, Patricia R. DeLucia, Lori T. Peterson, Tammy E. Ott, Alexia Green -- Promoting patient safety by monitoring errors : a view from the middle / Michal Tamuz, Cynthia K. Russell, Eric J. Thomas.

Additional Edition: ISBN 9781846639548

Language: English

URL: https://www.emerald.com/insight/publication/doi/10.1016/S1474-8231(2008)7

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ISBN: 9781848558793 (electronic bk.) :

Series Statement: Applications of management science, v. 13

Content: Applications of Management Science is a blind refereed serial publication published on an annual basis. The objective of this research annual is to present state-of-the-art studies in the application of management science to the solution of significant managerial decision-making problems. It significantly aids the dissemination of actual applications of management science in both the public and private sectors. Volume 13 is directed toward the application of management science to financial management, specifically in portfolio analysis and in productivity management such as Data Envelopment Analysis (DEA). Arranged in two sections, the first comprises a collection of financial applications papers, while the second focuses on the use of DEA in such wide-ranging environments as airport operations, freight railroads, gynaecological departments, severe coastal storms, and performance evaluation and classification of universities and public schools. This volume will prove valuable to researchers and practitioners of management science and operations research, as well as being a vital companion to portfolio analysts and industrial and financial engineers alike.

Note: Lexicographic and weighting approach to multi-criteria portfolio optimization by mixed integer programming / Bartosz Sawik -- Extreme mean-variance solutions : estimator error versus modeling error / Robert R. Grauer -- A fuzzy programming approach to financial portfolio model / Kenneth D. Lawrence, Dinesh R. Pai, Ronald K. Klimberg, Sheila M. Lawrence -- Bankruptcy prediction in the retail industry using logistic regression / Kenneth D. Lawrence, Dinesh R. Pai, Gary Kleinman -- A multi-criteria decision model for fixed income sector allocation for endowment funds / Karen M. Hogan, Amy F. Lipton, Gerard T. Olson -- Recovering from delays : an analysis of airport operations using data envelopment analysis / Warren T. Sutton, Seungkee Baek -- Using data envelopment analysis to analyze the performance of North America class 1 freight railroads / Rashmi Malhorta, D. K. Malhorta, Harvey Lermack -- Using regression and data envelopment analysis (DEA) to forecast bank performance over time / Ronald K. Klimberg, Kenneth D. Lawrence, Ira Yermish, Tanya Lal, Daniel Mrazik -- Creating an index of vulnerability to severe coastal storms along the north shore of Boston / Samuel J. Ratick, Holly Morehouse, Ronald K. Klimberg -- Performance evaluation of universities from the students' perspective / Andreas Kleine, Regina Schlindwein -- Assessment of implication of competitiveness on human development of countries via data envelopment analysis and cluster analysis / Füsun Ülengin, Özgür Kabak, Sule Önsel, Emel Aktas -- Rich and poor in Saint Louis : performance characteristics of public schools using a data envelopment analysis approach / N. K. Kwak, Walter A. Garrett -- Sustainability assessment of venture business firms using data envelope analysis / N.K. Kwak, Chang W. Lee -- Determining the relative efficiency of gynecological departments using DEA / Reuven R. Levary, Cesse Ip.

Additional Edition: ISBN 9781848558786

Language: English

URL: https://www.emerald.com/insight/publication/doi/10.1108/S0276-8976(2009)13

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Format: 1 online resource (xxxiii, 675 p.) : , ill.

ISBN: 9781849508490 (electronic bk.) :

Series Statement: Contributions to economic analysis, v. 245

Content: In recent years, there has been renewed interest in index number and aggregation theory, since the two previously divergent fields have been successfully unified. The underlying aggregator functions which are weakly separable subfunctions of utility and production functions, are the building blocks of economic theory, and the derivation of index numbers based upon their ability to track those building blocks is now called the economic theory of index numbers. William Barnett, the coeditor of this volume, introduced modern economic index number theory into monetary economics. His merger of economic index number theory, with monetary theory was based upon the use of Diewert's approach to producing superlative nonparametric approximations to the theoretically exact aggregator functions.This book comprises a focussed and unified collection of Barnett's most important publications in this area. The papers in the book have been organized into logical sections, with unifying introductions and overviews. The result is a systematic development of the state-of-the-art in monetary and financial aggregation theory. The sections cover the origin of the user cost price of monetary services. Exact aggregation of monetary assets on the demand side for consumers and firms, and on the supply side for financial intermediaries, general equilibrium of all economic agents' demands and supplies, dynamic solution of the exact system, and extension to monetary aggregation under risk. The extension of index number theory to the case of risk is completely general, and can be applied to tracking any exact economic aggregator under risk. In all cases, the criterion used for evaluation is the tracking ability of the approximation to the exact aggregator function of economic theory.Many of the empirical and policy puzzles in monetary economics disappear when simple sum monetary aggregates are replaced by index numbers that are coherent with theory. Simple sum monetary aggregates became incoherent with theory, when monetary assets began paying interest and therefore could no longer be viewed as perfect substitutes. This is a useful tool to those associated with economics departments within universities, business schools, central banks and federal governments, financial institutions including underwriters, bankers and stockbrokers.

Note: Understanding the new divisia monetary aggregates -- Economic monetary aggregates : an application of index number and aggregation theory -- Divisia indices -- Divisia monetary aggregates -- The optimal level of monetary aggregation -- New concepts of aggregated money / Paul Spindt -- A dispersion-dependency diagnostic test for aggregation error : with applications to monetary economics and income distribution / Apostolos Serletis -- Exact aggregation under risk -- Monitoring monetary aggregates under risk aversion / Piyu Yue -- CAPM risk adjustment / Mark Jensen -- Stochastic volatility in interest rates and nonlinearity in velocity / Haiyang Xu -- A reply to Julio J. Rotemberg -- Partition of M2+ as a joint product : commentary / Ge Zhou -- New indices of money supply and the flexible laurent demand system -- The new Divisia monetary aggregates / Paul A. Spindt -- Consumer theory and the demand for money / Apostolos Serletis -- The regulatory wedge between the demand-side and supply-side aggregation-theoretic monetary aggregates / Warren E. Weber -- Financial-firm production of monetary services : a generalized symmetric Barnett variable-profit-function approach / Jeong Ho Hahm -- Financial-firms' production and supply-side monetary aggregation under dynamic uncertainty / Ge Zhou -- The microeconomic theory of monetary aggregation -- Estimating policy-invariant deep parameters in the financial sector when risk and growth matter / Meenakshi Pasupathy -- Recent monetary policy and the Divisia monetary aggregates -- Which road leads to stable money demand? -- Perspective on the current state of macroeconomic theory -- The user cost of money -- Introduction to the St. Louis monetary services index project / Travis D. Nesmith.

Additional Edition: ISBN 9780444501196

Language: English

Subjects: Economics

Keywords: Aufsatzsammlung

URL: https://www.emerald.com/insight/publication/doi/10.1108/S0573-8555(2000)245

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ISBN: 9781849503709 (electronic bk.) :

Series Statement: Advances in human performance and cognitive engineering research, v. 7

Content: The commonly used terms, 'unmanned' or 'uninhabited,' are misleading in the context of remotely operated vehicles. In the case of Unmanned Aerial Vehicles (UAVs), there are many people involved on the ground ranging from those operating the vehicle from a ground control station, to the people coordinating multiple UAVs in an air operations or air traffic control center. The complexity of remote vehicle operations is also often underestimated and seen as a simple navigation task, neglecting the more complex functions associated with remote camera operations, data gathering, and even weapons activity. In addition, trends in the military and civilian sectors involving reduced staffing, increased number of vehicles to control, and integration with other operations are associated with critical human factors issues.For example, the integration of UAVs with manned aircraft in the national airspace poses numerous human factors challenges. In summary, though these vehicles may be unmanned they are not unoperated, unsupervised, or uncontrolled. The role of the human in these systems is critical and raises a number of human factors research and design issues ranging from multiple vehicle control and adaptive automation to spatial disorientation and synthetic vision. The purpose of this book is to highlight the pressing human factor issues associated with remotely operated vehicles and to showcase some of the state of the art human-oriented research and design that speaks to these issues. In this book the human components of the 'unmanned' system take center stage compared to the vehicle technology that often captures immediate attention.

Note: Includes index. , Human factors implications of unmanned aircraft accidents : flight-control problems / Kevin W. Williams -- Human factors in U.S. military unmanned aerial vehicle accidents / Clarence E. Rash, Patricia A. LeDuc, Sharon D. Manning -- Spatial disorientation in uninhabited aerial vehicles / Brian P. Self, William R. Ercoline, Wesley A. Olson, Anthony P. Tvaryanas -- Multi-sensory interfaces for remotely operated vehicles / Gloria L. Calhoun, Mark H. Draper -- Evaluation of a touch screen-based operator control interface for training and remote operation of a simulated micro-uninhabited aerial vehicle / Paula J. Durlach, John L. Neumann, Laticia D. Bowens -- Video imagery's role in network centric, multiple unmanned aerial vehicle (UAV) operations / Bruce P. Hunn -- Spatial dialog and unmanned aerial vehicles / Wendell H. Chun, Thomas Spura, Frank C. Alvidrez, Randy J. Stiles -- Workload and automation reliability in unmanned air vehicles / Christopher D. Wickens, Stephen R. Dixon, Michael S. Ambinder -- UAV human factors : operator perspectives / Harry K. Pedersen, Nancy J. Cooke, Heather Pringle, Olena Connor -- Design of a multi-vehicle control system : system design and user interaction / Shawn A. Weil, Jared Freeman, Jean MacMillan, Cullen D. Jackson, Elizabeth Mauer, Michael J. Patterson, Michael P. Linegang -- Scaling-up human control for large UAV teams / Michael Lewis, Jumpol Polvichai, Katia Sycara, Paul Scerri -- Delegation interfaces for human supervision of multiple unmanned vehicles : theory, experiments, and practical applications / Raja Parasuraman, Christopher Miller -- Operational analysis and performance modeling for the control of multiple uninhabited aerial vehicles from an airborne platform / Ming Hou, Robert D. Kobierski -- Acquiring team-level command and control skill for UAV operation / Nancy J. Cooke, Harry K. Pedersen, Olena Connor, Jamie C. Gorman, Dee Andrews -- A theoretical perspective on enhancing coordination and collaboration in ROV teams / Ernest S. Park, Verlin B. Hinsz, Jared L. Ladbury -- CERI human factors of UAVs : 2004 and 2005 workshop overviews / Olena Connor, Harry Pedersen, Nancy J. Cooke, Heather Pringle -- Guiding the design of a deployable UAV operations cell / Janie A. DeJoode, Nancy J. Cooke, Steven M. Shope, Harry K. Pedersen -- Cognition and collaboration in hybrid human-robot teams : viewing workload and performance through the lens of multimedia cognitive load / Sandro Scielzo, Stephen M. Fiore, Florian Jentsch, Neal M. Finkelstein -- Exploring human-robot interaction : emerging methodologies and environments / A. William Evans, Raegan M. Hoeft, Florian Jentsch, Sherri A. Rehfeld, Michael T. Curtis -- Situation awareness in the control of unmanned ground vehicles / Jennifer M. Riley, Robin R. Murphy, Mica R. Endsley -- Remotely operated vehicles (ROVs) from the top-down and the bottom-up / T. Oron-Gilad, J.Y.C. Chen, P.A. Hancock -- What the robot's camera tells the operator's brain / Roger A. Chadwick, Skye L. Pazuchanics, Douglas J. Gillan -- Supervisory control of uninhabited combat air vehicles from an airborne battle management command and control platform : human factors issues / W. Todd Nelson, Robert S. Bolia -- Modeling and operator simulations for early development of army unmanned vehicles : methods and results / Michael J. Barnes, Bruce P. Hunn, Regina A. Pomranky -- UAV operators, other airspace users, and regulators : critical components of an uninhabited system / Stephen B. Hottman, Kari Sortland -- Human errors in UAV takeoff and landing : theoretical account and practical implications / Avi Parush -- Preface : why human factors of unmanned systems? / Nancy J. Cooke.

Additional Edition: ISBN 9780762312474

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Format: 1 online resource (1,192 p.) ; , cm.

ISBN: 9781784718923 (e-book)

Content: This authoritative and wide-ranging collection presents over fifty of the most important articles on forecasting - a technique that lies at the heart of economic policy and decision-making. This comprehensive two volume set presents the major papers in macroeconomic forecasting and policy making; time series forecasting; the econometrics of forecasting; forecast evaluation; forecasting with leading indicators; forecasting in finance and economic forecasting using surveys.

Note: The recommended readings are available in the print version, or may be available via the link to your library's holdings. , Recommended readings (Machine generated): KLEIN, Judy L. (1997), Statistical Visions in Time. A History of Time Series Analysis, 1662-1938, Cambridge: Cambridge University Press. -- MORGAN, Mary S. (1990), The History of Econometric Ideas, Cambridge: Cambridge University Press. -- MOORE, Henry L. (1923), Generating Economic Cycles, New York: Macmillan. -- MITCHELL, Wesley C. (1913), Business Cycles and their Causes. Berkeley: California University Memoirs, Volume 3. -- PERSONS, Warren M. (1924a), Some Fundamental Concepts of Statistics, Journal of the American Statistical Association, 19, 1-8. -- PERSONS, Warren M. (1924b), The Problem of Business Forecasting, Pollak Foundation for Economic Research Publications, No. 6, London: Pitman. -- SAMUELSON, Paul A. (1987), Paradise Lost and Refound: The Harvard ABC Barometers, Journal of Portfolio Management, 4, 4-9. -- MARGET, Albert W. (1929), Morgenstern on the Methodology of Economic Forecasting, Journal of Political Economy, 37, 312-339. -- LUCAS, Robert E. (1976), Econometric Policy Evaluation: A Critique, in K. Brunner and A. Meltzer (editors), The Phillips Curve and Labor Markets, Vol. 1 of Carnegie-Rochester Conferences on Public Policy, 19-46, Amsterdam: North-Holland. -- MARRIS, Robin L. (1954), The Position of Economics and Economists in the Government Machine: a Comparative Critique of the United Kingdom and the Netherlands, Economic Journal, 64, 759-783. -- BODKIN, Ronald G., Lawrence R. KLEIN and Kanta MARWAH (1991), A History of Macroeconometric Model-Building, Aldershot: Edward Elgar. -- ADELMAN, Irma and Frank L. ADELMAN (1959), The Dynamic Properties of the Klein-Goldberger Model, Econometrica, 27, 596-625. -- SUITS, Daniel B. (1962), Forecasting and Analysis with an Econometric Model, American Economic Review, 52, 104-132. -- CAIRNCROSS, Sir Alec (1969), Economic Forecasting, Economic Journal, 79, 797-812. -- McNEES, Stephen K. (1982), The Role of Macroeconometric Models in Forecasting and Policy Analysis in the United States, Journal of Forecasting, 1, 37-48. -- BURNS, Terry (1986), The Interpretation and Use of Economic Predictions, Proceedings of the Royal Society of London, A, 407, 103-125. -- WALLIS, Kenneth F. (1989), Macroeconomic Forecasting: A Survey, Economic Journal, 99, 28-61 -- BOX, George E.P. and Gwilym M. JENKINS (1970), Time Series Analysis: Forecasting and Control, San Francisco: Holden-Day. -- COEN, P.G., E.D. GOMME, and Maurice G. KENDALL (1969), Lagged Relationships in Economic Forecasting (with discussion), Journal of the Royal Statistical Society, Series A, 132, 133-163. , BRAY, Jeremy (1971), Dynamic Equations for Economic Forecasting with the GDP - Unemployment Relation and the Growth of GDP in the UK as an Example (with discussion), Journal of the Royal Statistical Society, Series A, 134, 167-227. -- NEWBOLD, Paul and Clive W.J. GRANGER (1974), Experience with Forecasting Univariate Time Series and the Combination of Forecasts (with discussion), Journal of the Royal Statistical Society, Series A, 137, 131-165. -- BOX, George E.P. and Paul NEWBOLD (1971), Some Comments on a Paper by Coen, Gomme and Kendall, Journal of the Royal Statistical Society, Series A, 134, 229-240. -- MAKRIDAKIS, S., A. ANDERSON, R. CARBONE, M. HIBON, R. LEWANDOWSKI, J. NEWTON, E. PARZEN and R. WINKLER (1982), The Accuracy of Extrapolation (Time Series) Methods: Results of a Forecasting Competition, Journal of Forecasting, 1, 111-153. -- MEESE, Richard, and John GEWEKE, (1984), A Comparison of Autoregressive Univariate Forecasting Procedures for Macroeconomic Time Series, Journal of Business and Economic Statistics, 2, 191-200. -- HARVEY, Andrew C. and Paul H.J. TODD (1983), Forecasting Economic Time Series with Structural and Box-Jenkins Methods (with discussion), Journal of Business and Economic Statistics, 1, 299-315. -- LITTERMAN, Robert (1986), Forecasting with Bayesian Vector Autoregressions - Five Years of Experience, Journal of Business and Economic Statistics, 4, 25-38. -- KADIYALA, K. Rao and Sune KARLSSON (1993), Forecasting with Generalized Bayesian Vector Autoregressions, Journal of Forecasting, 12, 365-378. -- SIMS, Christopher A. (1980), Macroeconomics and Reality, Econometrica, 48, 1-48. -- GRANGER, Clive W.J. and Jin Luang LIN (1994), Forecasting from Non-linear Models in Practice, Journal of Forecasting, 13, 1-10. -- CHATFIELD, Chris (1997), Forecasting in the 1990s, The Statistician, 46, 461-473. -- ZHANG, Guoqiang, B. Eddy PATUWO and Michael Y. HU (1998), Forecasting with Artificial Neural Networks: The State of the Art, International Journal of Forecasting, 14, 35-62. -- TERÄSVIRTA, Timo, Dick van DIJK and Marcelo C. MEDEIROS (2005), Smooth Transition Autoregressions, Neural Networks, and Linear Models in Forecasting Macroeconomic Time Series: A Re-examination, International Journal of Forecasting, 21, 755-774. -- STOCK, James H. and Mark W. WATSON (2002), Forecasting using Principal Components from a Large Number of Predictors, Journal of the American Statistical Association, 97, 1167-1179. -- FORNI, Mario, Marc HALLIN, Marco LIPPI and Lucrezia REICHLIN (2005), The Generalized Dynamic Factor Model: One-Sided Estimation and Forecasting, Journal of the American Statistical Association, 100, 830-839. -- EICKMEIER, Sandra and Christina ZIEGLER (2008), How Successful are Dynamic Factor Models at Forecasting Output and Inflation? A Meta-Analytic Approach, Journal of Forecasting, 27, 237-265. -- BAILLIE, Richard T. and Tim BOLLERSLEV (1992), Prediction in Dynamic Models with Time-Dependent Conditional Variances, Journal of Econometrics, 52, 91-113. -- CLEMENTS, Michael P. and David F. HENDRY (1995), Forecasting in Cointegrated Systems, Journal of Applied Econometrics, 10, 127-146. -- CLEMENTS, Michael P. and David F. HENDRY (1999), Forecasting Non-stationary Economic Time Series, Cambridge: Cambridge University Press. , CLEMENTS, Michael P. and David F. HENDRY (2002a), Modelling Methodology and Forecast Failure, Econometrics Journal, 5, 319-344. -- HENDRY, David F. and Grayham E. MIZON (2005), Forecasting in the Presence of Structural Breaks and Policy Regime Shifts, in Donald W.K. Andrews and James H. Stock (editors), Identification and Inference for Econometrics Models: Essays in Honor of Thomas Rotherburg, 480-502, Cambridge: Cambridge University Press. -- HENDRY, David F. (2006), Robustifying Forecasts from Equilibrium-Correction Models, Journal of Econometrics, 135, 399-426. -- CASTLE, Jennifer L., Nicholas W.P. FAWCETT and David F. HENDRY (2010), Forecasting with Equilibrium-Correction Models during Structural Breaks, Journal of Econometrics, 158, 25-36. -- MOORE, Geoffrey H. (1969), Forecasting Short-Term Economic Change, Journal of the American Statistical Association, 64, 1-22. -- ZARNOWITZ, Victor (1979), An Analysis of Annual and Multiperiod Quarterly Forecasts of Aggregate Income, Output, and the Price Level, Journal of Business, 52, 1-33. -- STECKLER, Herman O. (1968), Forecasting with Econometric Models: An Evaluation, Econometrica, 36, 437-463. -- NELSON, Charles R. (1972), The Prediction Performance of the F.R.B.-M.I.T.-PENN model of the U.S. Economy, American Economic Review, 62, 902-917. -- THEIL, Henri (1958), Economic Forecasts and Policy, Amsterdam: North Holland. -- BATES, John M. and Clive W.J. GRANGER (1969), The Combination of Forecasts, Operational Research Quarterly, 20, 451-468. -- GRANGER, Clive W.J. and Paul NEWBOLD (1973), Some Comments on the Evaluation of Economic Forecasts, Applied Economics, 5, 35-47. -- CLEMEN, Robert T. (1989), Combining Forecasts: A Review and Annotated Bibliography, International Journal of Forecasting, 5, 559-583. -- NEWBOLD, Paul and Clive W.J. GRANGER (1974), Experience with Forecasting Univariate Time Series and the Combination of Forecasts (with discussion), Journal of the Royal Statistical Society, Series A, 137, 131-165. -- ELLIOTT, Graham and Allan TIMMERMANN (2005), Optimal Forecast Combination under Regime Switching, International Economic Review, 46, 1081-1102. -- CAPISTRÁN, Carlos and Allan TIMMERMANN (2009), Forecast Combination with Entry and Exit of Experts, Journal of Business and Economic Statistics, 27, 428-440. -- SMITH, Jeremy and Kenneth F. WALLIS (2009), A Simple Explanation of the Forecast Combination Puzzle, Oxford Bulletin of Economics and Statistics, 71, 331-355. -- CLEMENTS, Michael P. and David I. HARVEY (2010), Forecast Encompassing Tests and Probability Forecasts, Journal of Applied Econometrics, 25, 1028-1062. -- HENDRY, David F. and Michael P. CLEMENTS (2004), Pooling of Forecasts, Econometrics Journal, 7, 1-31. -- PESARAN, M. Hashem and Allan TIMMERMANN (2005), Small Sample Properties of Forecasts from Autoregressive Models under Structural Breaks, Journal of Econometrics, 129, 183-217. , COOPER, Richard L. (1972), The Predictive Performance of Quarterly Econometric Models of the United States, in B.G. Hickman (editor), Econometric Models of Cyclical Behaviour, No. 36 in National Bureau of Economic Research Studies in Income and Wealth, 813-947, New York: Columbia University Press. -- HOWREY, E. Philip, Lawrence R. KLEIN and Michael D. McCARTHY (1974), Notes on Testing the Predictive Performance of Econometric Models, International Economic Review, 15, 366-383. -- FAIR, Ray C. (1974), An Evaluation of a Short-Run Forecasting Model, International Economic Review, 15, 285-304. -- FAIR, Ray C. (1979), An Analysis of the Accuracy of Four Macroeconometric Models, Journal of Political Economy, 87, 701-718. -- SARGENT, Thomas J. (1976), A Classical Macroeconometric Model for the United States, Journal of Political Economy, 84, 207-237. -- SIMS, Christopher A. (1980), Macroeconomics and Reality, Econometrica, 48, 1-48. -- McNEES, Stephen K. (1986), Forecasting Accuracy of Alternative Techniques: A Comparison of U.S. Macroeconomic Forecasts, Journal of Business and Economic Statistics, 4, 5-15. -- KOLB, R.A. and Herman O. STEKLER (1990), The Lead and Accuracy of Economic Forecasts, Journal of Macroeconomics, 12, 111-123. -- BATCHELOR, Roy A. and Pami DUA (1990), Forecaster Ideology, Forecasting Technique, and the Accuracy of Economic Forecasts, International Journal of Forecasting, 6, 3-10. -- McNEES, Stephen K. (1992), The Uses and Abuses of 'Consensus' Forecasts, Journal of Forecasting, 11, 70-84. -- LEITCH, Gordon and J. Ernest TANNER (1991), Economic Forecast Evaluation: Profits versus Conventional Error Measures, American Economic Review, 81, 580-590. -- GRANGER, Clive W.J. (1969), Prediction with a Generalized Cost of Error Function, Operations Research Quarterly, 20, 199-207. -- DIEBOLD, Francis X. and Robert S. MARIANO (1995), Comparing Forecast Accuracy, Journal of Business and Economic Statistics, 13, 253-263. -- HARVEY, David I., Stephen J. LEYBOURNE and Paul NEWBOLD (1998), Tests for Forecast Encompassing, Journal of Business and Economic Statistics, 16, 254-259. -- GRANGER, Clive W.J. (1996), Can We Improve the Perceived Quality of Economic Forecasts?, International Journal of Forecasting, 11, 455-473. -- WEST, Kenneth D. and Michael W. McCRACKEN (1998), Regression Tests for Predictive Ability, International Economic Review, 39, 817-840. -- CLARK, Todd E. and Michael W. McCRACKEN (2001), Test for Equal Forecast Accuracy and Encompassing for Nested Models, Journal of Econometrics 105, 85-110. -- CLARK, Todd E. and Kenneth D. WEST (2007), Approximately Normal Tests for Equal Predictive Accuracy in Nested Models, Journal of Econometrics, 138, 291-311. -- HANSEN, Peter R. (2005), A Test for Superior Predictive Ability, Journal of Business and Economic Statistics, 23, 365-380. , GIACOMINI, Raffaella and Halbert WHITE (2006), Tests of Conditional Predictive Ability, Econometrica, 74, 1545-1578. -- HANSEN, Peter R. and Asger LUNDE (2005), A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?, Journal of Applied Econometrics, 20, 873-879. -- McCRACKEN, Michael W. and Stephen G. SAPP (2005), Evaluating the Predictive Ability of Exchange Rates using Long Horizon Regressions: Mind your p's and q's!, Journal of Money Credit and Banking, 37, 473-494. -- GIACOMINI, Raffaella and Barbara ROSSI (2009), Detecting and Predicting Forecast Breakdown, Review of Economic Studies, 76, 669-705. -- BURNS, Arthur F. and Wesley C. MITCHELL (1946), Measuring Business Cycles, New York: National Bureau of Economic Research. -- KOOPMANS, Tjalling C. (1947), Measurement without Theory, Review of Economic Statistics, 29, 161-172. -- HENDRY, David F. and Mary S. MORGAN (editors) (1995), The Foundations of Econometric Analysis, Cambridge: Cambridge University Press. -- ALEXANDER, Sidney S. and Herman O. STEKLER (1959), Forecasting Industrial Production - Leading Series versus Autoregression, Journal of Political Economy, 67, 402-409. -- HYMANS, Saul H. (1973), On the Use of Leading Indicators to Predict Cyclical Turning Points, Brookings Papers on Economic Activity, 1973(2), 339-384. -- AUERBACH, Alan J. (1982), The Index of Leading Indicators: 'Measurement Without Theory' Thirty-Five Years Later, Review of Economics and Statistics, 64, 589-595. -- DIEBOLD, Francis X., and Glenn D. RUDEBUSCH (1991), Forecasting Output with the Composite Leading Index: An ex ante Analysis, Journal of the American Statistical Association, 86, 603-610. -- NIEMIRA, Michael P. and Philip A. KLEIN (1994), Forecasting Financial and Economic Cycles, New York: Wiley. -- EMERSON, Rebecca A., and David F. HENDRY (1996), An Evaluation of Forecasting Using Leading Indicators, Journal of Forecasting, 15, 271-291. -- CAMBA-MENDEZ, Gonzalo, George KAPETANIOS, Martin R. WEALE and Ron J. SMITH (2002), The Forecasting Performance of the OECD Composite Leading Indicators for France, Germany, Italy and the UK, in Michael P. Clements and David F. Hendry (editors), A Companion to Economic Forecasting, 386-408, Oxford: Blackwell. -- MARCELLINO, Massimiliano (2006), Leading Indicators, in Graham Elliott, Clive W.J. Granger and Allan Timmermann (editors), Handbook of Economic Forecasting, 879-960, Amsterdam: Elsevier. -- COWLES, Arthur, (1933), Can Stock Market Forecasters Forecast?, Econometrica, 1, 309-324. -- KENDALL, Maurice G. (1953), The Analysis of Economic Time Series - Part 1: Prices, Journal of the Royal Statistical Society, Series A, 96, 11-25. -- ROBERTS, Harry V. (1959), Stock-Market 'Patterns' and Financial Analysis: Methodological Suggestions, Journal of Finance, 14, 1-10. -- COOTNER, Paul A. (editor) (1964), The Random Character of Stock Market Prices, Cambridge, MA: MIT Press. , GRANGER, Clive W.J. and Oskar MORGENSTERN (1970), Predictability of Stock Market Prices, Lexington: Heath. -- GRANGER, Clive W.J. (1972), Analysis of Stock Market Price Data, Bulletin of the Institute of Mathematics and Its Applications, 8, 229-232. -- GRANGER, Clive W.J. (1993), Forecasting Stock Market Prices: Lessons for Forecasters, International Journal of Forecasting, 9, 3-18. -- BOLLERSLEV, Tim, Ray Y. CHOU and Kenneth F. KRONER (1992), ARCH Modelling in Finance: A Review of the Theory and Empirical Evidence, Journal of Econometrics, 52, 5-59. -- LAMOUREUX, Christopher G. and William D. LASTRAPES (1993), Forecasting Stock Return Variance: Toward an Understanding of Stochastic Implied Volatilities, Review of Financial Studies, 6, 293-326. -- NOH, Jaesun, Robert F. ENGLE, and Alex KANE (1994), Forecasting Volatility and Option Pricing of the S&P 500 Index, Journal of Derivatives, 2, 17-30. -- KRONER, Kenneth F., Kevin P. KNEAFSEY, and Stijn CLAESSENS (1995), Forecasting Volatility in Commodity Markets, Journal of Forecasting, 14, 77-95. -- WEST, Kenneth D. and Dongchul CHO (1995), The Predictive Ability of Several Models of Exchange Rate Volatility, Journal of Econometrics, 69, 367-391. -- SATCHELL, Steven, and Allan TIMMERMANN (1995), An Assessment of the Economic Value of Non-linear Foreign Exchange Rate Forecasts, Journal of Forecasting, 14, 477-497. -- ANDERSEN, Torben G. and Tim BOLLERSLEV (1998), Answering the Sceptics: Yes, Standard Volatility Models do Provide Accurate Forecasts, International Economic Review, 39, 885-905. -- HANSEN, Peter R. and Asger LUNDE (2005), A Forecast Comparison of Volatility Models: Does Anything Beat a GARCH(1,1)?, Journal of Applied Econometrics, 20, 873-889. -- ANDERSEN, Torben G., Tim BOLLERSLEV, Francis X. DIEBOLD and Paul LABYS (2003), Modelling and Forecasting Realized Volatility, Econometrica, 71, 579-625. -- DEO, Rohit, Clifford HURVICH and Yi LU (2006), Forecasting Realized Volatility using a Long-Memory Stochastic Volatility Model: Estimation, Prediction and Seasonal Adjustment, Journal of Econometrics, 131, 29-58. -- ANDERSEN, Torben G., Tim BOLLERSLEV and Francis X. DIEBOLD (2007), Roughing it Up: Including Jump Components in the Measurement, Modelling and Forecasting of Return Volatility, Review of Economics and Statistics, 89, 707-720. -- CORSI, Fulvio (2009), A Simple Long Memory Model of Realized Volatility, Journal of Financial Econometrics, 7, 174-196. -- LUCAS, Robert E. and Thomas J. SARGENT (editors) (1981), Rational Expectations and Econometric Practice, London: Allen and Unwin. -- RIPPE, Richard D. and Maurice WILKINSON (1974), Forecasting Accuracy of the McGraw-Hill Anticipatory Data, Journal of the American Statistical Association, 69, 849-858. -- CARLSON, John (1977), A Study of Price Forecasts, Annals of Economic and Social Measurement, 6, 27-56. -- ZARNOWITZ, Victor (1985), Rational Expectations and Macroeconomic Forecasts, Journal of Business and Economic Statistics, 3, 293-311. , DAVIES, Antony and Kajal LAHIRI (1995), A New Framework for Testing Rationality and Measuring Aggregate Shocks using Panel Data, Journal of Econometrics, 68, 205-227. -- BONHAM, Carl S. and Richard H. COHEN (2001), To Aggregate, Pool, or Neither: Testing the Rational Expectations Hypothesis using Survey Data, Journal of Business and Economic Statistics, 19, 278-291. -- CLEMENTS, Michael P., Fred JOUTZ and Herman O. STEKLER (2007), An Evaluation of the Forecasts of the Federal Reserve: A Pooled Approach, Journal of Applied Econometrics, 22, 121-136. -- BOERO, Gianna, Jeremy SMITH and Kenneth F. WALLIS (2008a), Evaluating a Three-Dimensional Panel of Point Forecasts: The Bank of England, International Journal of Forecasting, 24, 354-367. -- BOERO, Gianna, Jeremy SMITH and Kenneth F. WALLIS (2008b), Uncertainty and Disagreement in Economic Prediction: The Bank of England Survey of External Forecasters, Economic Journal, 118, 1107-1127. -- LAHIRI, Kajal and Xuguang SHENG (2010), Measuring Forecast Uncertainty by Disagreement: The Missing Link, Journal of Applied Econometrics, 25, 514-538. -- SMETS, Frank and Rafael WOUTERS (2004), Forecasting with a Bayesian DSGE Model: An Application to the Euro Area, Journal of Common Market Studies, 42, 841-867. -- ADOLFSON, Malin, Jesper LINDÉ and Mattias VILLANE (2007), Forecasting Performance of an Open Economy DSGE Model, Econometric Reviews, 26, 289-328. -- GHENT, Andra C. (2009), Comparing DSGE-VAR Forecasting Models: How big are the Differences?, Journal of Economic Dynamics and Control, 33, 864-882. -- CHRISTOFFERSEN, Peter (1998), Evaluating Interval Forecasts, International Economic Review, 39, 841-862. -- DIEBOLD, Francis X., Todd GUNTHER and Anthony S. TAY (1998), Evaluating Density Forecasts with Application to Financial Risk Management, International Economic Review, 39, 863-883. -- TAY, Anthony S. and Kenneth F. WALLIS (2000), Density Forecasting: A Survey, Journal of Forecasting, 19, 235-254. -- BERKOWITZ, Jeremy (2001), Testing Density Forecasts, with Applications to Risk Management, Journal of Business and Economic Statistics, 19, 465-474. -- CORRADI, Valentina and Norman R. SWANSON (2006), Predictive Density and Conditional Confidence Interval Accuracy Tests, Journal of Econometrics, 127, 187-228. -- AMISANO, Gianna and Raffaella GIACOMINI (2007), Comparing Density Forecasts via Weighted Likelihood Ratio Tests, Journal of Business and Economic Statistics, 25, 177-190. -- HALL, Stephen G. and James MITCHELL (2007), Combining Density Forecasts, International Journal of Forecasting, 23, 1-13. -- EVANS, Martin D.D. (2005), Where Are We Now? Real-Time Estimates of the Macroeconomy, International Journal of Central Banking, 1, 127-175. -- GIANNONE, Domenico, Lucrezia REICHLIN and David SMALL (2008), Nowcasting: The Real-Time Informational Content of Macroeconomic Data, Journal of Monetary Economics, 55, 665-676. -- GHYSELS, Eric, Arthur SINKO and Rossen VALKANOV (2006), MIDAS Regressions: Further Results and New Directions, Econometric Reviews, 26, 53-90. , ARMESTO, Michelle T., Kristie ENGEMANN and Michael OWYANG (2010), Forecasting with Mixed Frequencies, Federal Reserve Bank of St. Louis Review, 9216, 521-536. -- CLEMENTS, Michael P. and Ana B. Galvão (2008), Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US Output Growth, Journal of Business and Economic Statistics, 26, 546-554. -- MARCELLINO, Massimiliano and Christian SCHUMACHER (2010), Factor-MIDAS for Now - and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP, Oxford Bulletin of Economics and Statistics, 72, 518-550. -- CLEMENTS, Michael P. and David F. HENDRY (editors) (2002b), A Companion to Economic Forecasting, Oxford: Blackwell. -- CLEMENTS, Michael P. and David F. HENDRY (editors) (2011), The Oxford Handbook of Economic Forecasting, Oxford: Oxford University Press. -- CASTLE, Jennifer L. and Neil SHEPHARD (editors) (2009), The Methodology and Practice of Econometrics: A Festschrift in Honour of Professor David Hendry, Oxford: Oxford University Press. -- ELLIOTT, Graham, Clive W.J. GRANGER and Allan TIMMERMANN (editors) (2006), Handbook of Economic Forecasting, Volume 1, Amsterdam: Elsevier. -- ELLIOTT, Graham and Allan TIMMERMANN (editors) (2013), Handbook of Economic Forecasting, Volume 2, Amsterdam: Elsevier. -- Warren M. Persons (1924), 'Some Fundamental Concepts of Statistics', Journal of the American Statistical Association, XIX (145), March, 1-8 -- Paul A. Samuelson (1987), 'Paradise Lost and Refound: The Harvard ABC Barometers', Journal of Portfolio Management, 4, Spring, 4-9 -- Arthur W. Marget (1929), 'Morgenstern on the Methodology of Economic Forecasting', Journal of Political Economy, XXXVII (3), June, 312-39 -- R.L. Marris (1954), 'The Position of Economics and Economists in the Government Machine: A Comparative Critique of the United Kingdom and the Netherlands', Economic Journal, LXIV (256), December, 759-83 -- Daniel B. Suits (1962), 'Forecasting and Analysis with an Econometric Model', American Economic Review, LII (1), March, 104-32 -- Alec Cairncross (1969), 'Economic Forecasting', Economic Journal, LXXIX (316), December, 797-812 -- Stephen K. McNees (1982), 'The Role of Macroeconometric Models in Forecasting and Policy Analysis in the United States', Journal of Forecasting, 1 (1), 37-48 -- Sir Terence Bums (1986), 'The Interpretation and Use of Economic Predictions' and discussion, Proceedings of the Royal Society of London, Series A, 407, 103-25 -- Kenneth F. Wallis (1991), 'Macroeconomic Forecasting: A Survey,' in Andrew J. Oswald (ed.), Surveys in Economics, Volume I, Chapter 2, Oxford: Basil Blackwell Ltd, 48-81 -- P.J. Coen, E.D. Gomme and M.G. Kendall (1969), 'Lagged Relationships in Economic Forecasting' and discussion, Journal of the Royal Statistical Society, Series A, 132 (1), 133-63 -- Jeremy Bray (1971), 'Dynamic Equations for Economic Forecasting with the G.D.P.-Unemployment Relation and the Growth of G.D.R in the United Kingdom as an Example' and discussion, Journal of the Royal Statistical Society, Series A, 134 (2), 167-227. , George E.P. Box and Paul Newbold (1971), 'Some Comments on a Paper of Coen, Gomme and Kendall', Journal of the Royal Statistical Society, Series A, 134 (2), 229-40 -- P. Newbold and C.W.J. Granger (1974), 'Experience with Forecasting Univariate Time Series and the Combination of Forecasts' and discussion, Journal of the Royal Statistical Society, Series A, 137 (2), 131-64 -- Richard Meese and John Geweke (1984), 'A Comparison of Autoregressive Univariate Forecasting Procedures for Macroeconomic Time Series', Journal of Business and Economic Statistics, 2 (3), July, 191-200 -- A.C. Harvey and P.H.J. Todd (1983), 'Forecasting Economic Time Series With Structural and Box-Jenkins Models: A Case Study', comments by Craig F. Ansley, David F. Findley and Paul Newbold and 'Response' by A.C. Harvey and P.H.J. Todd, Journal of Business and Economic Statistics, 1 (4), October, 299-315 -- Robert B. Litterman (1986), 'Forecasting With Bayesian Vector Autoregressions - Five Years of Experience', Journal of Business and Economic Statistics, 4(1), January, 25-38 -- K. Rao Kadiyala and Sune Karlsson (1993), 'Forecasting with Generalized Bayesian Vector Autoregressions', Journal of Forecasting, 12, 365-78 -- Jin-Lung Lin and C.W.J. Granger (1994), 'Forecasting from Nonlinear Models in Practice', Journal of Forecasting, 13 (1), January, 1-9 -- Chris Chatfield (1997), 'Forecasting in the 1990s', The Statistician, 46 (4), 461-73 -- Richard T. Baillie and Tim Bollerslev (1992), 'Prediction in Dynamic Models with Time-dependent Conditional Variances', Journal of Econometrics, 52, 91-113 -- Michael P. Clements and David F. Hendry (1993), 'On the Limitations of Comparing Mean Square Forecast Errors', Journal of Forecasting, 12, 617-37 -- Michael P. Clements and David F. Hendry (1995), 'Forecasting in Cointegrated Systems', Journal of Applied Econometrics, 10, 127-46 -- David F. Hendry (1997), 'The Econometrics of Macroeconomic Forecasting', Economic Journal, 107 (444), September, 1330-57 -- Geoffrey H. Moore (1969), 'Forecasting Short-term Economic Change', Journal of the American Statistical Association, 64 (325), March, 1-22 -- Victor Zaraowitz (1979), 'An Analysis of Annual and Multiperiod Quarterly Forecasts of Aggregate Income, Output, and the Price Level', Journal of Business, 52 (1), 1-33 -- H.O. Stekler (1968), 'Forecasting with Econometric Models: An Evaluation', Econometrica, 36 (3-4), July-October, 437-63 -- Charles R. Nelson (1972), 'The Prediction Performance of the FRB-MIT-PENN Model of the U.S. Economy', American Economic Review, 62, December, 902-17 -- J.M. Bates and C.W.J. Granger (1969), 'The Combination of Forecasts', Operational Research Quarterly, 20 (4), 451-68 -- C.W.J. Granger and P. Newbold (1973), 'Some Comments on the Evaluation of Economic Forecasts', Applied Economics, 5 (1), March, 35-47 -- Robert T. Clemen (1989), 'Combining Forecasts: A Review and Annotated Bibliography', International Journal of Forecasting, 5 (4), 559-83. , E. Philip Howrey, Lawrence R. Klein and Michael D. McCarthy (1974), 'Notes on Testing the Predictive Performance of Econometric Models', International Economic Review, 15 (2), June, 366-83 -- Ray C. Fair (1974), 'An Evaluation of a Short-run Forecasting Model', International Economic Review, 15 (2), June, 285-303 -- Ray C. Fair (1979), 'An Analysis of the Accuracy of Four Macroeconometric Models', Journal of Political Economy, 87 (4), August, 701-18 -- Stephen K. McNees (1986), 'Forecasting Accuracy of Alternative Techniques: A Comparison of U.S. Macroeconomic Forecasts', Journal of Business and Economic Statistics, 4 (1), January, 5-15 -- R.A. Kolb and H.O. Stekler (1990), 'The Lead and Accuracy of Macroeconomic Forecasts', Journal of Macroeconomics, 12 (1), Winter, 111-23 -- Roy Batchelor and Pami Dua (1990), 'Forecaster Ideology, Forecasting Technique, and the Accuracy of Economic Forecasts', International Journal of Forecasting, 6 (1), 3-10 -- Stephen K. McNees (1992), 'The Uses and Abuses of "Consensus" Forecasts', Journal of Forecasting, 11, 703-10 -- Gordon Leitch and J. Ernest Tanner (1991), 'Economic Forecast Evaluation: Profits Versus the Conventional Error Measures', American Economic Review, 81 (3), June, 580-90 -- Francis X. Diebold and Roberto S. Mariano (1995), 'Comparing Predictive Accuracy', Journal of Business and Economic Statistics, 13 (3), July, 253-63 -- David I. Harvey, Stephen J. Leyboume and Paul Newbold (1998), 'Tests for Forecast Encompassing', Journal of Business and Economic Statistics, 16 (2), April, 254-9 -- Clive W.J. Granger (1996), 'Can We Improve the Perceived Quality of Economic Forecasts?', Journal of Applied Econometrics, 11, 455-73 -- S.S. Alexander and H.O. Stekler (1959), 'Forecasting Industrial Production - Leading Series Versus Autoregression', Journal of Political Economy, LXVII (4), August, 402-9 -- Saul H. Hymans (1973), 'On the Use of Leading Indicators to Predict Cyclical Turning Points' and 'Comments and Discussion', Brookings Papers on Economic Activity, 2, 339-84 -- Alan J. Auerbach (1982), 'The Index of Leading Indicators: "Measurement Without Theory", Thirty-five Years Later', Review of Economics and Statistics, LXIV (4), November, 589-95 -- Francis X. Diebold and Glenn D. 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Language: English

Keywords: Electronic books. ; Electronic books ; Electronic books

URL: https://www.elgaronline.com/view/Research_Reviews/9781852788667/9781852788667.xml

URL: Deutschlandweit zugänglich

URL: Deutschlandweit zugänglich

URL: FULL  ((Currently Only Available on Campus))

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Format: 1 online resource (446 pages)

Edition: 1st ed.

ISBN: 9783031540493

Series Statement: Studies in Computational Intelligence Series ; v.1147

Note: Intro -- Acknowledgements -- Contents -- Contributors -- Abbreviations -- Introduction -- Going to the Edge: Bringing Artificial Intelligence and Internet of Things Together -- 1 Introduction -- 2 Objectives -- 3 Trustworthiness -- 4 Building on a Sound Basis -- 5 Driven Through Industrial Applications -- 6 Building Technology for Intelligent, Secure, Trustworthy Things -- 7 Reference Architecture for Trustworthy AIoT -- 8 Summary -- References -- The Development of Ethical and Trustworthy AI Systems Requires Appropriate Human-Systems Integration -- 1 Is Trustworthiness of AI a Problem? -- 2 Current Initiatives to Address Trustworthiness of AI -- 2.1 Guidelines and Regulations -- 2.2 Implementation Support -- 2.3 Observed Gaps in Current Initiatives -- 3 From Technology-Centered to Human-Centered Development of Smart Technologies -- 3.1 Orchestrating the Development of Ethical and Trustworthy AI -- 4 Conclusions -- References -- The InSecTT Reference Architecture -- 1 Introduction -- 2 AI in IoT Architectures -- 3 Overview of the InSecTT Architecture -- 3.1 Evolution of the Bubble -- 3.2 Modern Reference Architectures -- 4 Entity Model -- 5 Layered Model -- 5.1 Level 0 -- 5.2 Level 1 -- 5.3 Level 2 -- 5.4 Hardware Interfaces -- 6 Domain Model -- 7 Functionality Model -- 7.1 SW Interfaces -- 8 Information Model -- 9 AI Perspective of the Architecture -- 10 Example Use Cases Alignment -- 10.1 Overview -- 10.2 Entity Model -- 10.3 Functionality model -- 10.4 Interfaces -- 10.5 General Project Overview for Architecture Alignment -- References -- Structuring the Technology Landscape for Successful Innovation in AIoT -- 1 Motivation -- 2 How to Structure Research and Development to Enact an Ambitious Project Vision -- 3 Requirements and Constraints -- 4 Requirement Engineering Process -- 5 Navigating the Landscape: Planning R& -- D Work. , 6 External Alignment -- 7 Documenting Scope, Work and Results -- 8 Progress Assessment and Validation -- 9 Demonstrators -- 10 Preparing for Market: Exploitation -- 11 InSecTT Exploitation Board (EB) -- 12 Use Case Marketplace -- 13 Open Innovation -- 14 Publications to Prepare Markets -- 15 Website and Social Networks -- 16 Industrial Conferences, Trade Fairs and Podcasts -- Technology Development -- InSecTT Technologies for the Enhancement of Industrial Security and Safety -- 1 Introduction -- 2 Background -- 2.1 Industrial Automation and Control Systems -- 3 Selected InSecTT Technologies Targeting Security and Safety -- 3.1 Access Control and Authentication Infrastructure -- 3.2 Intrusion Detection Systems -- 3.3 Tools, Simulators and Datasets -- 3.4 Safety and Security Analysis for AGV Platooning -- 4 Novelty and Applicability of Proposed Technologies -- 5 Conclusions and Future Perspectives -- References -- Algorithmic and Implementation-Based Threats for the Security of Embedded Machine Learning Models -- 1 Introduction -- 2 Threat Models -- 2.1 Formalism -- 2.2 Adversarial Objectives -- 2.3 The System Under Attack -- 2.4 Knowledge and Capacity of an Adversary -- 2.5 Attack Surface -- 3 A Panorama of Algorithmic Attacks -- 3.1 Confidentiality and Privacy Threats -- 3.2 Integrity-Based Attacks -- 3.3 Availability -- 4 A Focus on Physical Attacks -- 4.1 Model Extraction Based on Side-Channel Analysis -- 4.2 Weight-Based Adversarial Attacks -- 5 Protecting ML System -- 5.1 Embedded Authentication Mechanism -- 5.2 Main Defenses Against Algorithmic Attacks -- 5.3 Countermeasures Against Physical Attacks -- 6 Conclusion -- References -- Explainable Anomaly Detection of 12-Lead ECG Signals Using Denoising Autoencoder -- 1 Introduction -- 2 Anomaly Detection and Explainability in Deep Learning. , 3 Denosisng Autoencoder as an Explainable Anomaly Detection Model for ECGs -- 3.1 ECG Data Sets -- 3.2 Model Architecture and Training -- 3.3 Results of Denoising and the Exploration of the Latent Space -- 4 Cloud-Based Service and Visualization of Explainable Anomaly Detection on ECGs -- 5 Conclusion -- References -- Indoor Navigation with a Smartphone -- 1 Introduction -- 2 Encoding Information in QR -- 3 Navigation -- 4 Local to Global Coordinates -- 5 Triage -- 6 Future Work -- 7 Conclusions -- References -- Reconfigurable Antennas for Trustable Things -- 1 Introduction -- 2 Electronically Steerable Parasitic Array Radiator Antenna for Trustable Things -- 2.1 Concept -- 2.2 Design -- 2.3 Realization -- 3 Applications -- 3.1 Direction of Arrival Estimation -- 3.2 Power Pattern Cross-Correlation Algorithm -- 3.3 Interpolation-Based Estimation -- 3.4 Multiplane Calibration for 2D DoA Estimation -- 3.5 DoA-Based Object Positioning -- 3.6 Single-Anchor Positioning System -- 3.7 Calibration-Free Indoor Localization -- 3.8 Other Applications -- References -- AI-Enhanced Connection Management for Cellular Networks -- 1 Introduction -- 2 Related Work -- 2.1 Data Rate Estimation -- 2.2 Interface Selection -- 3 Use Case and Research Challenge -- 4 Data Collection and Analysis -- 5 Uplink Data Rate Estimation -- 6 Interface Decision -- 7 Conclusion -- References -- Vehicle Communication Platform to Anything-VehicleCAPTAIN -- 1 Introduction -- 2 Problem Statement -- 3 VehicleCAPTAIN-A V2X Platform for Research and Development -- 3.1 The Platform -- 3.2 Message Library -- 3.3 ROS2 Support -- 4 Verification -- 4.1 Test Methodology -- 4.2 Results -- 4.3 Discussion -- 5 Key Performance Indicators -- 5.1 Use Cases Within InSecTT -- 5.2 Use Cases Within the Virtual Vehicle Research GmbH -- 6 Conclusion -- References. , AI-Enhanced UWB-Based Localisation in Wireless Networks -- 1 Introduction -- 2 Method Overview -- 3 AI for Solving UWB-Based Localisation Challenges -- 3.1 Localisation Challenges -- 3.2 AI Algorithms in UWB-Based Localisation Systems -- 4 Overview of Related Work -- 5 Application Example -- 5.1 KNN for LOS/NLOS Detection -- 5.2 KNN for Error Mitigation and Trustworthiness -- 6 Conclusion -- References -- Industrial Applications -- Approaches for Automating Cybersecurity Testing of Connected Vehicles -- 1 Introduction -- 2 State of the Art and Related Work -- 3 Automotive Cybersecurtiy Lifecycle Management -- 3.1 Threat Modeling -- 4 Cybersecurity Testing -- 4.1 Learning-Based Testing -- 4.2 Model-Based Test Case Generation -- 4.3 Testing Platform -- 4.4 Automated Test Execution -- 4.5 Fuzzing -- 5 Conclusion -- References -- Solar-Based Energy Harvesting and Low-Power Wireless Networks -- 1 Introduction -- 1.1 Solar-Based Energy Harvesting -- 2 Low-Power Network Protocols -- 2.1 Bluetooth Low Energy -- 2.2 IEEE 802.15.4 and Thread -- 2.3 EPhESOS Protocol -- 2.4 UWB Localisation -- 3 Power Consumption in Different Scenarios -- 3.1 Measurement Setup and Hardware -- 3.2 Power Consumption with Increasing Update Period -- 4 Available Energy in Real-World Scenarios -- 5 Experimental Results -- 6 Conclusion -- References -- Location Awareness in HealthCare -- 1 Terminology and Technology -- 1.1 Positioning, Localization, Tracking and Navigation -- 1.2 RF-Based Indoor Localization Technologies -- 1.3 Non-RF Based Localization Technologies -- 2 Pedestrian Dead Reckoning (PDR) -- 3 Others -- 3.1 Outdoor Localization Technologies -- 3.2 Technology Overview -- 4 Designing an End-To-End IoT Solution -- 4.1 Commissioning -- 4.2 Low Power Wide Area Networks (LPWAN) -- 4.3 Battery Lifetime -- 4.4 Going from Indoor to Outdoor -- 4.5 APIs for Location Services. , 4.6 Visualizing on a Map -- 4.7 Security and Privacy Aspects -- 5 Healthcare Use-Cases -- 5.1 Asset Tracking -- 5.2 Mass Casualty Incident (MCI) -- 5.3 Bed Management -- 5.4 Hospital Wayfinding -- 6 Use-Case Concept Demonstrator -- 6.1 Architecture -- 6.2 GeoJSON Server -- 6.3 Client Authentication -- 6.4 FHIR Compatibility -- 6.5 Location and Privacy -- 6.6 Additional Features -- 7 Conclusions/Next Steps -- References -- Driver Distraction Detection Using Artificial Intelligence and Smart Devices -- 1 Introduction -- 2 Definitions and Background -- 3 System Design -- 4 Machine Learning-Based Components -- 4.1 Use Case Definition and Components' Architecture -- 4.2 Data Acquisition and Pre-processing -- 4.3 Machine Learning Model Training and Experimental Results -- 4.4 Model Deployment on Smart Devices -- 5 Dashboard Application for Driver Distraction -- 6 Related Work -- 7 Conclusion and Future Work -- References -- Working with AIoT Solutions in Embedded Software Applications. Recommendations, Guidelines, and Lessons Learned -- 1 Introduction -- 2 Project Description and Goals -- 3 Project Design -- 4 Machine Learning in Embedded Systems -- 5 Communication Platform -- 5.1 Design Layout -- 5.2 Message Queuing with RabbitMQ -- 5.3 Inter-Process Messaging -- 6 Data Extraction -- 7 Training Data Set and Model -- 7.1 Design Stage 1 -- 7.2 Design Stage 2 -- 7.3 Alternative Model Setup -- 8 Cloud or Edge? -- 9 Security -- 10 Conclusion -- Appendix A -- Appendix B -- References -- Artificial Intelligence for Wireless Avionics Intra-Communications -- 1 Introduction -- 2 Use Case Objectives -- 3 Link Between Scenarios and Building Blocks -- 4 State of the Art -- 5 AI/IoT Added Value -- 6 Scenarios -- 6.1 Scenario 1: Interference Detection and Cancellation -- 6.2 Scenario 2: Verification and Validation of WAICs -- 6.3 Scenario 3: Battery-Less Devices. , 7 Performance Evaluation.

Additional Edition: Print version: Karner, Michael Intelligent Secure Trustable Things Cham : Springer International Publishing AG,c2024 ISBN 9783031540486

Language: English

Keywords: Electronic books.

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