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  • 1
    UID:
    almafu_BV012762571
    Format: XIV, 295 S. : , Ill., graph. Darst.
    ISBN: 0-387-98823-8
    Series Statement: Springer series in statistics
    Language: English
    Subjects: Computer Science , Mathematics
    RVK:
    RVK:
    Keywords: Software Engineering ; Statistik ; Statistik ; Statistik
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  • 2
    UID:
    almahu_BV002254863
    Format: IX, 564 S. : , graph. Darst.
    ISBN: 0-471-56737-X
    Series Statement: Wiley series in propability and mathematical statistics
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    RVK:
    RVK:
    Keywords: Qualitätskontrolle ; Mathematik
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  • 3
    UID:
    almafu_BV044702261
    Format: 1 Online-Ressource (XVI, 540 Seiten) : , Illustrationen, Diagramme.
    ISBN: 978-3-319-71504-9
    Series Statement: Lecture Notes in Computer Science 10684
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-319-71503-2
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Konferenzschrift ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 4
    Online Resource
    Online Resource
    Chichester, West Sussex, England ; : J. Wiley & Sons,
    UID:
    almafu_9959328693802883
    Format: 1 online resource (xiv, 371 pages) : , illustrations
    ISBN: 9780470060346 , 0470060344 , 0470060336 , 9780470060339
    Content: We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and reliability, and to quantify them.
    Note: Reliability and Risk; Contents; Preface; Acknowledgements; 1 Introduction and Overview; 2 The Quantification of Uncertainty; 3 Exchangeability and Indifference; 4 Stochastic Models of Failure; 5 Parametric Failure Data Analysis; 6 Composite Reliability: Signatures; 7 Survival in Dynamic Environments; 8 Point Processes for Event Histories; 9 Non-parametric Bayes Methods in Reliability; 10 Survivability of Co-operative, Competing and Vague Systems; 11 Reliability and Survival in Econometrics and Finance; Appendix A Markov Chain Monté Carlo Simulation. , English.
    Additional Edition: Print version: Singpurwalla, Nozer D. Reliability and risk. Chichester, West Sussex, England ; New York : J. Wiley & Sons, ©2006 ISBN 0470855029
    Additional Edition: ISBN 9780470855027
    Language: English
    Keywords: Electronic books. ; Electronic books. ; Electronic books.
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  • 5
    UID:
    almahu_9947411616602882
    Format: XIV, 540 p. 64 illus. , online resource.
    ISBN: 9783319715049
    Series Statement: Lecture Notes in Computer Science, 10684
    Content: This book constitutes the refereed proceedings of the First International Conference on Analytical and Computational Methods in Probability Theory and its Applications, ACMPT 2017, held in Moscow, Russia, in October 2017. The 42 full papers presented were carefully reviewed and selected from 173 submissions. The conference program consisted of four main themes associated with significant contributions made by A.D.Soloviev. These are: Analytical methods in probability theory, Computational methods in probability theory, Asymptotical methods in probability theory,  the history of mathematics.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783319715032
    Language: English
    URL: Volltext  (lizenzpflichtig)
    URL: Cover
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  • 6
    UID:
    almahu_9947362865902882
    Format: XIV, 297 p. , online resource.
    ISBN: 9781461205654
    Series Statement: Springer Series in Statistics,
    Content: This preface pertains to three issues that we would like to bring to the attention of the readers: our objectives, our intended audience, and the nature of the material. We have in mind several objectives. The first is to establish a framework for dealing with uncertainties in software engineering, and for using quantitative measures for decision making in this context. The second is to bring into perspective the large body of work having statistical content that is relevant to software engineering, which may not have appeared in the traditional outlets devoted to it. Connected with this second objective is a desire to streamline and organize our own thinking and work in this area. Our third objective is to provide a platform that facilitates an interface between computer scientists and statisticians to address a class of problems in computer science. It appears that such an interface is necessary to provide the needed synergism for solving some difficult problems that the subject poses. Our final objective is to serve as an agent for stimulating more cross-disciplinary research in computer science and statistics. To what extent the material here will meet our objectives can only be assessed with the passage of time. Our intended audience is computer scientists, software engineers, and reliability analysts, who have some exposure to probability and statistics. Applied statisticians interested in reliability problems are also a segment of our intended audience.
    Note: 1 Introduction and Overview -- 1.1 What is Software Engineering? -- 1.2 Uncertainty in Software Production -- 1.3 The Quantification of Uncertainty -- 1.4 The Role of Statistical Methods in Software Engineering -- 1.5 Chapter Summary -- 2 Foundational Issues: Probability and Reliability -- 2.0 Preamble -- 2.1 The Calculus of Probability -- 2.2 Probability Models and Their Parameters -- 2.3 Point Processes and Counting Process Models -- 2.4 Fundamentals of Reliability -- 2.5 Chapter Summary -- Exercises for Chapter 2 -- 3 Models for Measuring Software Reliability -- 3.1 Background: The Failure of Software -- 3.2 Models Based on the Concatenated Failure Rate Function -- 3.3 Models Based on Failure Counts -- 3.4 Models Based on Times Between Failures -- 3.5 Unification of Software Reliability Models -- 3.6 An Adaptive Concatenated Failure Rate Model -- 3.7 Chapter Summary -- Exercises for Chapter 3 -- 4 Statistical Analysis of Software Failure Data -- 4.1 Background: The Role of Failure Data -- 4.2 Bayesian Inference, Predictive Distributions, and Maximization of Likelihood -- 4.3 Specification of Prior Distributions -- 4.4 Inference and Prediction Using a Hierarchical Model -- 4.5 Inference and Predictions Using Dynamic Models -- 4.6 Prequential Prediction, Bayes Factors, and Model Comparison -- 4.7 Inference for the Concatenated Failure Rate Model -- 4.8 Chapter Summary -- Exercises for Chapter 4 -- 5 Software Productivity and Process Management -- 5.1 Background: Producing Quality Software -- 5.2 A Growth-Curve Model for Estimating Software Productivity -- 5.3 The Capability Maturity Model for Process Management -- 5.4 Chapter Summary -- Exercises for Chapter 5 -- 6 The Optimal Testing and Release of Software -- 6.1 Background: Decision Making and the Calculus of Probability -- 6.2 Decision Making Under Uncertainty -- 6.3 Utility and Choosing the Optimal Decision -- 6.4 Decision Trees -- 6.5 Software Testing Plans -- 6.6 Examples of Optimal Testing Plans -- 6.7 Application: Testing the NTDS Data -- 6.8 Chapter Summary -- Exercises for Chapter 6 -- 7 Other Developments: Open Problems -- 7.0 Preamble -- 7.1 Dynamic Modeling and the Operational Profile -- 7.2 Statistical Aspects of Software Testing: Experimental Designs -- 7.3 The Integration of Module and System Performance -- Appendices -- Appendix A Statistical Computations Using the Gibbs Sampler -- A.1 An Overview of the Gibbs Sampler -- A.2 Generating Random Variates The Rejection Method -- A.3 Examples: Using the Gibbs Sampler -- A.3.1 Gibbs Sampling the Jelinski-Moranda Model -- A.3.2 Gibbs Sampling the Hierarchical Model -- A.3.3 Gibbs Sampling the Adaptive Kalman Filter Model -- A.3.4 Gibbs Sampling the Non-Gaussian Kalman Filter Model -- Appendix B The Maturity Questionnaire and Responses -- B. 1 The Maturity Questionnaire -- B.2 Binary (Yes, No) Responses to the Maturity Questionnaire -- B.3 Prior Probabilities and Likelihoods -- References -- Author Index.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781461268208
    Language: English
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  • 7
    UID:
    almahu_9947362842302882
    Format: XII, 370 p. 35 illus. , online resource.
    ISBN: 9781461225461
    Series Statement: Lecture Notes in Statistics, 105
    Content: Like its predecessor, this second volume presents detailed applications of Bayesian statistical analysis, each of which emphasizes the scientific context of the problems it attempts to solve. The emphasis of this volume is on biomedical applications. These papers were presented at a workshop at Carnegie-Mellon University in 1993.
    Note: Invited Papers (with discussions) -- A Bayesian Model for Organ Blood Flow Measurement with Colored Microspheres -- Elicitation, Monitoring, and Analysis for an AIDS Clinical Trial -- Accurate Restoration of DNA Sequences -- Analysis and Reconstruction of Medical Images Using Prior Information -- Contributed Papers -- Combining Information from Multiple Sources in the Analysis of a Non-Equivalent Control Group Design -- Road Closure: Combining Data and Expert Opinion -- Optimal Design for Heart Defibrillators -- Longitudinal Care Patterns for Disabled Elders: A Bayesian Analysis of Missing Data -- Bayesian Inference for the Mean of a Stratified Population When There are Order Restrictions -- Hierarchical Modelling of Consumer Heterogeneity: An Application to Target Marketing -- Author Index.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9780387945668
    Language: English
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  • 8
    UID:
    almahu_9947362740202882
    Format: XXI, 333 p. , online resource.
    ISBN: 9781441990211
    Series Statement: International Series in Operations Research & Management Science, 67
    Content: In this volume consideration was given to more advanced theoretical approaches and novel applications of reliability to ensure that topics having a futuristic impact were specifically included. Topics like finance, forensics, information, and orthopedics, as well as the more traditional reliability topics were purposefully undertaken to make this collection different from the existing books in reliability. The entries have been categorized into seven parts, each emphasizing a theme that seems poised for the future development of reliability as an academic discipline with relevance. The seven parts are networks and systems; recurrent events; information and design; failure rate function and burn-in; software reliability and random environments; reliability in composites and orthopedics, and reliability in finance and forensics. Embedded within the above are some of the other currently active topics such as causality, cascading, exchangeability, expert testimony, hierarchical modeling, optimization and survival analysis. These topics, when linked with utility theory, constitute the science base of risk analysis.
    Note: 1 The Signature of a Coherent System -- 2 System Reliability Optimization: An Overview -- 3 Methods for Assessing Network Reliability -- 4 Modelling Heterogeneity: Hierarchical Bayesian Approach -- 5 Spatial Neutral to the Right Processes -- 6 Models for Recurrent Events in Reliability and Survival Analysis -- 7 Information Functions for Reliability -- 8 Experiments for Reliability Assessment and Improvement -- 9 Analysis of Computer and Physical Experimental Life Time Data -- 10 The Shape of Failure Rate Mixtures -- 11 Burn-in - Sequential Stop and Go Strategies -- 12 Managing Software Development Process -- 13 Reliability Modeling and Analysis in Random Environments -- 14 Failure of Brittle Fibers and Composites -- 15 Modeling the Reliability of Hip Replacements -- 16 The Price of Failure -- 17 Warranty: A Surrogate of Reliability.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9781461347606
    Language: English
    URL: Volltext  (lizenzpflichtig)
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  • 9
    UID:
    almahu_9947362835702882
    Format: XIII, 437 p. 7 illus. , online resource.
    ISBN: 9781461227144
    Series Statement: Lecture Notes in Statistics, 83
    Content: The past few years have witnessed dramatic advances in computational methods for Bayesian inference. As a result, Bayesian approaches to solving a wide variety of problems in data analysis and decision-making have become feasible, and there is currently a growth spurt in the application of Bayesian methods. The purpose of this volume is to present several detailed examples of applications of Bayesian thinking, with an emphasis on the scientific or technological context of the problem being solved. The papers collected here were presented and discussed at a Workshop held at Carnegie-Mellon University, September 29 through October 1, 1991. There are five ma­ jor articles, each with two discussion pieces and a reply. These articles were invited by us following a public solicitation of abstracts. The problems they address are diverse, but all bear on policy decision-making. Though not part of our original design for the Workshop, that commonality of theme does emphasize the usefulness of Bayesian meth­ ods in this arena. Along with the invited papers were several additional commentaries of a general nature; the first comment was invited and the remainder grew out of the discussion at the Workshop. In addition there are nine contributed papers, selected from the thirty-four presented at the Workshop, on a variety of applications. This collection of case studies illustrates the ways in which Bayesian methods are being incorporated into statistical practice. The strengths (and limitations) of the approach become apparent through the examples.
    Note: Invited Papers (with discussions) -- Bayesian Estimation of Fuel Economy Potential Due to Technology Improvements -- Bayes Analysis of Model-Based Methods for Nonignorable Nonresponse in the Harvard Medical Practice Survey -- Use of Prior Information to Estimate Costs in a Sewerage Operation -- Estimation of Bowhead Whale, Balaena mysticetus, Population Size -- Bayesian Decision Support Using Environmental Transport-And-Fate Models -- Final Discussions -- Contributed Papers -- Bayesian Analysis of the Ames Salmonella/Microsome Assay -- A Clinical Experiment in Bone Marrow Transplantation: Estimating a Percentage Point of a Quantal Response Curve -- The Composition of a Composition: Just the Facts -- Predicting Coproduct Yields in Microchip Fabrication -- Synchronicity of Whale Strandings with Phases of the Moon -- Bayesian Predictive Inference for Small Areas for Binary Variables in the National Health Interview Survey -- A Cost-Utility Analysis of Alternative Strategies in Screening for Breast Cancer -- Restoration and Segmentation of Rail Surface Images -- Assessing Mechanisms of Neural Synaptic Activity -- Author Index.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9780387940434
    Language: English
    Keywords: Konferenzschrift
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  • 10
    UID:
    almahu_9947362845702882
    Format: XII, 471 p. 20 illus. , online resource.
    ISBN: 9781461222903
    Series Statement: Lecture Notes in Statistics, 121
    Content: Like the first two volumes, this third volume of case studies presents detailed applications of Bayesian statistical analysis, emphasizing the sci­ entific context. The papers were presented and discussed at a workshop at Carnegie Mellon University, October 5-7, 1995. In this volume, which is dedicated to the memory of Morris H. DeGroot, econometric applica­ tions are highlighted. There are six invited papers, each with accompany­ ing invited discussion, and eight contributed papers (which were selected following refereeing). In addition, we include prefatory recollections about Morrie DeGroot by James o. Berger and Richard M. Cyert. INVITED PAPERS In Probing Public Opinion: The State of Valencia Experience, Jose Bernardo, who was a scientific advisor to the President of the State of Valencia, Spain, summarizes procedures that were set up to probe public opinion, and were used as an input to the government's decision making process. At the outset, a sample survey had to be designed. The problem of finding an optimal Bayesian design, based on logarithmic divergence be­ tween probability distributions, involves minimization over 21483 points in the action space. To solve it, simulated annealing was used. The author describes the objective of obtaining the probability that an individual clas­ sified in a certain group will prefer one of several possible alternatives, and his approach using posterior distributions based on reference priors.
    Note: Invited Papers (with discussion) -- 1. Probing Public Opinion: the State of Valencia Experience -- 2. Pressure Matching for Hydrocarbon Reservoirs: A Case Study in the Use of Bayes Linear Strategies for Large Computer Experiments -- 3. Hierarchical Bayes Models for Micro-Marketing Strategies -- 4. Modeling Mortality Rates for Elderly Heart Attack Patients: Profiling Hospitals in the Cooperative Cardiovascular Project -- 5. A Bayesian Approach to the Modeling of Spatial-Temporal Precipitation Data -- 6. Variable Selection Tests of Asset Pricing Models -- Contributed Papers -- 7. Modeling the History of Diabetic Retinopathy -- 8.Hierarchical Bayesian Analysis for Prevalence Estimation -- 9. Estimating the Cells of a Contingency Table with Limited Information, for Use in Geodemographic Marketing -- 10. Multiresolution Assessment of Forest Inhomogeneity -- 11. Assessment of Deleterious Gene Models Using Predictive p-values -- 12. Bayesian Inference for the Best Ordinal Multinomial Population in a Taste Test -- 13. A Random Effects Multinomial Probit Model of Car Ownership Choice -- 14. Changepoint Modeling of Longitudinal PSA as a Biomarker for Prostate Cancer -- 15. A Subjective Bayesian Approach to Environmental Sampling.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9780387949901
    Language: English
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