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  • UB Potsdam  (74)
  • ÖSB Oberkrämer
  • SB Lebus
  • Springer Nature Switzerland AG  (74)
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  • 1
    UID:
    b3kat_BV002009202
    Format: 309 Seiten , Illustrationen
    ISBN: 3764313021
    Series Statement: Wissenschaftliche Schriftenreihe des Forschungsinstituts der Eidgenössischen Turn- und Sportschule Magglingen (Schweiz) 10
    Content: Kind, Kindersport, Leistungssport, Tagung, Wachstum, Mädchen, Bewegungsapparat, Sportpsychologie, Sportpädagogik, Sportmotorik, Leistung, Kindesalter, Leistungsfähigkeit, Motivation, Leistungsentwicklung, Kindertraining, Training, Hochleistungssport, Deutschland, Kunstturnen, Sportinternat, Schwimmsport, Eiskunstlauf, Volleyballspiel.
    Language: German
    Subjects: Sports Science
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    Keywords: Kindersport ; Sportpsychologie ; Kindersport ; Sportmedizin ; Kind ; Leistungssport ; Leistungssport ; Kind ; Kindersport ; Konferenzschrift ; Konferenzschrift ; Konferenzschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1699179166
    Format: 1 Online-Ressource (XVII, 254 Seiten) , 169 Diagramme
    Edition: Second edition
    ISBN: 9783030392642
    Series Statement: Excel for Statistics
    Content: Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index. .
    Content: Newly revised to specifically address Microsoft Excel 2019, this book shows the capabilities of Excel in teaching educational and psychological statistics effectively. Similar to the previously published Excel 2016 for Educational and Psychological Statistics, it is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical education and psychology problems. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in education and psychology courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Educational and Psychological Statistics capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand educational and psychological problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned. This new edition features a wealth of new chapter problems and solutions, as well as updated chapter content throughout.
    Additional Edition: ISBN 9783030392635
    Additional Edition: ISBN 9783030392659
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030392635
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030392659
    Language: English
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  • 3
    UID:
    gbv_1699177139
    Format: 1 Online-Ressource (XI, 277 Seiten) , 150 Diagramme
    ISBN: 9783030433284
    Series Statement: Springer eBook Collection
    Content: Chapter 1: Fundamentals -- Chapter 2: Sample Statistics are NOT Parameters -- Chapter 3: Confidence -- Chapter 4: Multiplicity and Multiple Comparisons -- Chapter 5: Power and the Myth of Sample Size Determination -- Chapter 6: Regression and Model Fitting with Collinearity -- Chapter 7: Overparameterization -- Chapter 8: Ignoring Error Control Factors and Experimental Design -- Chapter 9: Generalized Linear Models -- Chapter 10: Mixed Models and Variance Components -- Chapter 11: Models, Models Everywhere...Model Selection -- Chapter 12: Bayesian Analyses -- Chapter 13: The Acceptance Sampling Game -- Chapter 14: Nonparametric Statistics - A Strange Name -- Chapter 15: Autocorrelated Data and Dynamic Systems -- Chapter 16: Multivariate Analysis and Classification -- Chapter 17: Time-to-Event: Survival and Life Testing -- Index.
    Content: Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited background in statistical methodology who seek guidance in defending their statistical decision-making in the worlds of research and practice. It is devoted to helping students and scholars find the information they need to select data analytic methods, and to speak knowledgeably about their statistical research processes. Each chapter opens with a conundrum relating to the selection of an analysis, or to explaining the nature of an analysis. Throughout the chapter, the analysis is described, along with some guidance in justifying the choices of that particular method. Designed to offer statistical knowledge to the non-specialist, this volume can be used in courses on research methods, or for courses on statistical applications to biological, medical, life, social, or physical sciences. It will also be useful to academic and industrial researchers in engineering and in the physical sciences who will benefit from a stronger understanding of how to analyze empirical data. The book is written for those with foundational education in calculus. However, a brief review of fundamental concepts of probability and statistics, together with a primer on some concepts in elementary calculus and matrix algebra, is included. R code and sample datasets are provided.
    Additional Edition: ISBN 9783030433277
    Additional Edition: ISBN 9783030433291
    Additional Edition: ISBN 9783030433307
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030433277
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030433291
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030433307
    Language: English
    Keywords: Statistische Analyse ; Empirische Forschung
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  • 4
    UID:
    gbv_1738043797
    Format: xiv, 269 Seiten
    ISBN: 9783030531294
    Series Statement: Societies and political orders in transition
    Note: "The idea for this book emerged with the international conference Gender–Power–Eastern Europe: Changing Concepts of Femininities and Masculinities and Power Relations organized by the Institute for East European Studies of Freie Universität Berlin ..." (Acknowledgements, Seite v) , Literaturangaben
    Additional Edition: ISBN 9783030531300
    Language: English
    Subjects: Political Science , Sociology
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    Keywords: Osteuropa ; Geschlechterforschung ; Weiblichkeit ; Männlichkeit ; Macht ; Identitätspolitik ; Soziologie ; Konferenzschrift
    Author information: Bluhm, Katharina 1961-
    Author information: Pickhan, Gertrud 1956-
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  • 5
    UID:
    gbv_1699181004
    Format: 1 Online-Ressource (VI, 420 Seiten) , Diagramme, Illustrationen
    ISBN: 9783030425531
    Series Statement: Lecture notes in mathematics 2259
    Content: Presenting a range of substantive applied problems within Bayesian Statistics along with their Bayesian solutions, this book arises from a research program at CIRM in France in the second semester of 2018, which supported Kerrie Mengersen as a visiting Jean-Morlet Chair and Pierre Pudlo as the local Research Professor. The field of Bayesian statistics has exploded over the past thirty years and is now an established field of research in mathematical statistics and computer science, a key component of data science, and an underpinning methodology in many domains of science, business and social science. Moreover, while remaining naturally entwined, the three arms of Bayesian statistics, namely modelling, computation and inference, have grown into independent research fields.While the research arms of Bayesian statistics continue to grow in many directions, they are harnessed when attention turns to solving substantive applied problems. Each such problem set has its own challenges and hence draws from the suite of research a bespoke solution. The book will be useful for both theoretical and applied statisticians, as well as practitioners, to inspect these solutions in the context of the problems, in order to draw further understanding, awareness and inspiration. .
    Additional Edition: ISBN 9783030425524
    Additional Edition: ISBN 9783030425548
    Additional Edition: Erscheint auch als Druck-Ausgabe Jean-Morlet Chair Case studies in applied Bayesian data science Cham : Springer, 2020 ISBN 9783030425524
    Additional Edition: ISBN 9782856299142
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030425548
    Language: English
    Subjects: Mathematics
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    Keywords: Statistik ; Big Data ; Data Science ; Bayes-Inferenz ; Stochastischer Prozess ; Konferenzschrift
    Author information: Robert, Christian P. 1961-
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  • 6
    UID:
    gbv_1691527831
    Format: 1 Online-Ressource (IX, 378 Seiten)
    ISBN: 9783030385965
    Series Statement: Problem books in mathematics
    Content: Examining Curves and Surfaces -- Investigating Conditional Extremes -- Investigating Integrals with Parameters -- Examining Unoriented Curvilinear Integrals -- Examining Differential Forms -- Examining Oriented Curvilinear Integrals -- Studying Functions of Complex Variable -- Investigating Singularities of Complex Functions -- Dealing with Multi-Valued Functions -- Studying Fourier Series.
    Content: This textbook offers an extensive list of completely solved problems in mathematical analysis. This third of three volumes covers curves and surfaces, conditional extremes, curvilinear integrals, complex functions, singularities and Fourier series. The series contains the material corresponding to the first three or four semesters of a course in Mathematical Analysis. Based on the author’s years of teaching experience, this work stands out by providing detailed solutions (often several pages long) to the problems. The basic premise of the book is that no topic should be left unexplained, and no question that could realistically arise while studying the solutions should remain unanswered. The style and format are straightforward and accessible. In addition, each chapter includes exercises for students to work on independently. Answers are provided to all problems, allowing students to check their work. Though chiefly intended for early undergraduate students of Mathematics, Physics and Engineering, the book will also appeal to students from other areas with an interest in Mathematical Analysis, either as supplementary reading or for independent study.
    Additional Edition: ISBN 9783030385958
    Additional Edition: ISBN 9783030385972
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030385958
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030385972
    Language: English
    Subjects: Mathematics
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    URL: Cover
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  • 7
    UID:
    gbv_1691527777
    Format: 1 Online-Ressource (XII, 358 Seiten) , Illustrationen, Diagramme
    ISBN: 9783030307059
    Series Statement: Lecture notes in computational science and engineering 132
    Content: 1 L. Silva et al., Simulation of Complex High Reynolds Flows with a VMS method and Adaptive Meshing -- 2 B. Bastl et al., Comparison of coupled and decoupled solvers for incompressible Navier-Stokes equations solved by isogeometric analysis -- 3 A. Jaeschke and M. Möller, High-Order Isogeometric Methods for Compressible Flows. I. Scalar Conservation Laws -- 4 M. Möller and A. Jaeschke, High-Order Isogeometric Methods for Compressible Flows. II. Compressible Euler Equations -- 5 G. Tumolo and L. Bonaventura, Simulations of Non-hydrostatic Flows by an Efficient and Accurate p-adaptive DG Method -- 6 L. Bonaventura et al., A fully semi-Lagrangian method for the Navier–Stokes equations in primitive variables -- 7 A. Dervieux et al., Mesh adaptation for k-exact CFD approximations -- 8 M. R. A. Abdelmalik and E. H. van Brummelen, Entropy Stable Discontinuous Galerkin Finite Element Moment Methods for Compressible Fluid Dynamics -- 9 M. Make et al., Space-Time NURBS-Enhanced Finite Elements for Solving the Compressible Navier-Stokes Equations -- 10 S. Santoso et al., Fluid Flow Simulation from geometry data based on point clouds -- 11 C. Miles et al., Thermomechanically-consistent phase-field modelling of thin film flows -- 12 K. Bicol and A. Quaini, On the sensitivity to model parameters in a filter stabilization technique for advection dominated advection-diffusion-reaction problems -- 13 J. K. Ryan and J. Docampo, One-dimensional Line SIAC filtering for multi-dimensions: Applications to Streamline Visualization -- 14 J. H. Spühler et al., A high performance computing framework for finite element simulation of blood flow in the left ventricle of the human heart -- 15 B. S. Hosseini and M. Möller, Phase field-based incompressible two-component liquid flow simulation -- 16 J. Watkins et al., A study on the performance portability of the finite element assembly process within the Albany Land Ice solver -- 17 A. Johansson et al., A MultiMesh Finite Element Method for the Stokes Problem -- 18 Y. Mesri et al., A variational multi-scale anisotropic mesh adaptation scheme for aerothermal problems -- 19 N. Ferro et al., Density-based inverse homogenization with anisotropically adapted elements -- 20 H. Hajduk et al., Bathymetry reconstruction using inverse shallow water -- 21 E. G. Phillips et al., Enabling Scalable Multifluid Plasma Simulations through Block Preconditioning -- 22 S. Hijazi et al., The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: from Laminar to Turbulent Flows -- 23 J. M. Maljaars et al., Optimization Based Particle-Mesh Algorithm for High-Order and Conservative Scalar Transport -- 24 P. T. Lin et al., Krylov smoothing for fully-coupled AMG preconditioners for VMS resistive MHD -- 25 I. K. Marchevsky and G. A. Shcheglov, Double Layer Potential Density Reconstruction Procedure For 3D Vortex Methods -- 26 T. Yamada and K. Goto, Balancing Domain Decomposition Method on Additive Schwartz Framework for Multi-level Implementation -- 27 M. Gerritsma et al., Algebraic dual polynomials for the equivalence of curl-curl problems -- 28 K. Masui et al., Multiple-precision Iterative Methods for Solving Complex Symmetric Electromagnetic Systems -- 29 D. Kuzmin, Gradient-based limiting and stabilization of continuous Galerkin methods -- 30 J. Llobell et al., High order CG schemes for KdV and Saint-Venant flows.
    Content: This book includes selected contributions on applied mathematics, numerical analysis, numerical simulation and scientific computing related to fluid mechanics problems, presented at the FEF-“Finite Element for Flows” conference, held in Rome in spring 2017. Written by leading international experts and covering state-of-the-art topics in numerical simulation for flows, it provides fascinating insights into and perspectives on current and future methodological and numerical developments in computational science. As such, the book is a valuable resource for researchers, as well as Masters and Ph.D students.
    Additional Edition: ISBN 9783030307042
    Additional Edition: ISBN 9783030307066
    Additional Edition: ISBN 9783030307073
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030307042
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030307066
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030307073
    Language: English
    Keywords: Konferenzschrift
    URL: Cover
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  • 8
    UID:
    gbv_1691527645
    Format: 1 Online-Ressource (XXIII, 285 Seiten, 729 illus., 4 illus. in color)
    ISBN: 9783030365332
    Series Statement: Trends in Logic, Studia Logica Library volume 54
    Uniform Title: Podstawy teorii części
    Content: Foreword -- Chapter I. Introduction -- Chapter II. “Existentially neutral” theories of parthood -- Chapter III. Theories of parthood with sum existence axioms -- Chapter IV. Theories of parthood without transitivity -- Appendix A. Logic and set theory -- Appendix B. Algebra.
    Content: This is the first book to systematically study the weak systems of mereology. In its chapters, the author critically analyzes and explains core topics related to mereology, such as parthood without antisymmetry, non-existence of the zero element, and Leśniewski's notion of class and set. The book also delves into three theories of parthood: two concern the sum existence axioms, and the third contends with transitivity of parthood. This is the first systematic analysis of systems of mereology of its kind and is suitable for students, scholars, logicians, and mathematicians who wish to further their knowledge of mereology. Original polish publication “Podstawy teorii części” by The Nicolaus Copernicus University Press.
    Note: Revised and extended edition of "Podstawy teorii części" , The research and publication of this work was funded as part of the Ministry of Science and Higher Education’s “National Programme for the Development of the Humanities” (project number 0047/NPRH5/H21/84/2017) during 2017–2019
    Additional Edition: ISBN 9783030365325
    Additional Edition: ISBN 9783030365349
    Additional Edition: ISBN 9783030365356
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030365325
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030365349
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030365356
    Language: English
    URL: Cover
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  • 9
    UID:
    gbv_1694050653
    Format: 1 Online-Ressource (VIII, 234 Seiten) , Illustrationen
    ISBN: 9783030391812
    Series Statement: Springer eBook Collection
    Content: Part I. Future HPC Challenges -- Part II. Performance Analysis and Optimization on Modern HPC Systems -- Part III. Techniques and Tools for New-Generation Computing Systems -- Part IV. Load Balancing Problems in HPC Simulations -- Part V. Applications and Numerical Methods for Large-Scale Systems. .
    Content: This book presents the state of the art in High Performance Computing on modern supercomputer architectures. It addresses trends in hardware and software development in general, as well as the future of High Performance Computing systems and heterogeneous architectures. The contributions cover a broad range of topics, from improved system management to Computational Fluid Dynamics, High Performance Data Analytics, and novel mathematical approaches for large-scale systems. In addition, they explore innovative fields like coupled multi-physics and multi-scale simulations. All contributions are based on selected papers presented at the 26th and 28th Workshops on Sustained Simulation Performance, held at the High Performance Computing Center, University of Stuttgart, Germany, in October 2017 and 2018, and the 27th and 29th Workshops on Sustained Simulation Performance, held at the Cyberscience Center, Tohoku University, Japan, in March 2018 and 2019.
    Additional Edition: ISBN 9783030391805
    Additional Edition: ISBN 9783030391829
    Additional Edition: ISBN 9783030391836
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030391805
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030391829
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030391836
    Language: English
    Keywords: Konferenzschrift
    URL: Cover
    Author information: Resch, Michael 1964-
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  • 10
    UID:
    gbv_1694053245
    Format: 1 Online-Ressource (XXIV, 276 Seiten) , 33 Illustrationen, Diagramme
    Edition: Second edition
    ISBN: 9783030396435
    Series Statement: Quantitative methods in the humanities and social sciences
    Content: Part I Microanalysis -- 1 R Basics -- 2 First Foray into Text Analysis with R -- 3 Accessing and Comparing Word Frequency Data -- 4 Token Distribution and Regular Expressions -- 5 Token Distribution Analysis by Chapter -- 6 Correlation -- 7 Measures of Lexical Variety -- 8 Hapax Richness -- 9 Do it KWIC -- 10 Do it KWIC(er) (And Better) -- Part II Metadata -- 11 Introduction to dplyr -- 12 Parsing TEI XML- 13 Parsing and Analyzing Hamlet -- 14 Sentiment Analysis -- Part III Macroanalysis -- 15 Clustering -- 16 Classification -- 17 Topic Modeling -- 18 Part of Speech Tagging and Named Entity Recognition -- Appendices -- Index -- List of Tables -- List of Figures.
    Content: Now in its second edition, Text Analysis with R provides a practical introduction to computational text analysis using the open source programming language R. R is an extremely popular programming language, used throughout the sciences; due to its accessibility, R is now used increasingly in other research areas. In this volume, readers immediately begin working with text, and each chapter examines a new technique or process, allowing readers to obtain a broad exposure to core R procedures and a fundamental understanding of the possibilities of computational text analysis at both the micro and the macro scale. Each chapter builds on its predecessor as readers move from small scale “microanalysis” of single texts to large scale “macroanalysis” of text corpora, and each concludes with a set of practice exercises that reinforce and expand upon the chapter lessons. The book’s focus is on making the technical palatable and making the technical useful and immediately gratifying. Text Analysis with R is written with students and scholars of literature in mind but will be applicable to other humanists and social scientists wishing to extend their methodological toolkit to include quantitative and computational approaches to the study of text. Computation provides access to information in text that readers simply cannot gather using traditional qualitative methods of close reading and human synthesis. This new edition features two new chapters: one that introduces dplyr and tidyr in the context of parsing and analyzing dramatic texts to extract speaker and receiver data, and one on sentiment analysis using the syuzhet package. It is also filled with updated material in every chapter to integrate new developments in the field, current practices in R style, and the use of more efficient algorithms.
    Additional Edition: ISBN 9783030396428
    Additional Edition: ISBN 9783030396442
    Additional Edition: ISBN 9783030396459
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030396428
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030396442
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030396459
    Language: English
    URL: Cover
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