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  • 1
    UID:
    almafu_9959245529202883
    Format: 1 online resource (321 p.)
    Edition: 1st ed.
    ISBN: 1-282-75566-8 , 9786612755668 , 0-12-378606-1
    Content: Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Introduction to WINBUGS for Ecologists goes right to the heart of the matter by providing ecologists with a comprehensive, yet concise, guide to applying WinBUGS to the types of models that they use most often: linear (LM), generalized linear (GLM),
    Note: Description based upon print version of record. , Front Cover; Introduction to WinBUGS for Ecologists; Copyright; Chapter 1. Introduction; Chapter 2. Introduction to the Bayesian Analysis of a Statistical Model; Chapter 3. WinBUGS; Chapter 4. A First Session in WinBUGS: The "Model of the Mean"; Chapter 5. Running WinBUGS from R via R2WinBUGS; Chapter 6. Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor; Chapter 7. t-Test: Equal and Unequal Variances; Chapter 8. Normal Linear Regression; Chapter 9. Normal One-Way ANOVA; 9.1 Introduction: Fixed and Random Effects; Chapter 10. Normal Two-Way ANOVA , Chapter 11. General Linear Model (ANCOVA)Chapter 12. Linear Mixed-Effects Model; Chapter 13. Introduction to the Generalized Linear Model: Poisson "t-test"; Chapter 14. Overdispersion, Zero-Inflation, and Offsets in the GLM; Chapter 15. Poisson ANCOVA; Chapter 16. Poisson Mixed-Effects Model (Poisson GLMM); Chapter 17. Binomial "t-Test"; Chapter 18. Binomial Analysis of Covariance; Chapter 19. Binomial Mixed-Effects Model (Binomial GLMM); Chapter 20. Nonstandard GLMMs 1: Site-Occupancy Species Distribution Model; Chapter 21. Nonstandard GLMMs 2: Binomial Mixture Model to Model Abundance , Chapter 22. Conclusions Appendix: A List of WinBUGS Tricks , English
    Additional Edition: ISBN 0-12-378605-3
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_615036023
    Format: XVIII, 302 S. , Ill., graph. Darst.
    Edition: 1. ed.
    ISBN: 9780123786050
    Content: Introduction -- Introduction to Bayesian analysis of a statistical model -- WinBUGS -- A first session in WinBUGS : the "model of the mean" -- Running WinBUGS from R via R2WinBUGS -- Key components of (generalized) linear models : statistical distributions and the linear predictor -- t-Test : equal and unequal variances -- Normal linear regression -- Normal one-way ANOVA -- Normal two-way ANOVA -- General linear model (ANCOVA) -- Linear mixed-effects model -- Introduction to the generalized linear model : Poisson "t-test" -- Overdispersion, zero-inflation, and offsets in the GLM -- Poisson ANCOVA -- Poisson mixed-effects model (Poisson GLMM) -- Binomial "t-Test" -- Binomial analysis of covariance -- Binomial mixed-effects model (binomial GLMM) -- Nonstandard GLMMs 1 : site-occupancy species distribution model -- Nonstandard GLMMs 2 : binomial mixture model to model abundance -- Conclusions
    Note: Hier auch später erschienene, unveränderte Nachdrucke
    Additional Edition: Erscheint auch als Online-Ausgabe Kéry, Manuel Marton Marc, 1968 - Introduction to WinBUGS for ecologists Amsterdam : Elsevier, 2010 ISBN 9781282755666
    Language: English
    Subjects: Biology , Mathematics
    RVK:
    RVK:
    Keywords: Ökologie ; Datenanalyse ; Biometrie ; Bayes-Entscheidungstheorie ; Population ; Analyse ; Programm
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    gbv_1651554889
    Format: Online Ressource , illustrations (some color)
    Edition: 1st ed
    Edition: Online-Ausg.
    ISBN: 9780123786050 , 0123786053 , 0123786061 , 9780123786067 , 1282755668 , 9781282755666 , 9786612755668 , 6612755660 , 1282755668
    Content: Principles of Bayesian Statistics -- WinBUGS -- A First Session in WinBUGS -- Running WinBUGS from R via R2WinBUGS -- Key Components of Generalized Linear Models : statistical distributions and the linear predictor -- t-Test : equal and unequal variances -- Normal Linear Regression -- Normal One-Way ANOVA -- Normal two-way ANOVA -- General linear model (ANOCVA) -- Linear mixed-effects model -- Introduction to generalized linear model : Poisson "t-Test" -- Overdispersion, zero-inflation and offsets in the GLM -- Poisson ANCOVA -- Poisson mixed-effects model (Poisson GLMM) -- Binomial t-Test -- Bionomial mixed-effects model (Binomial GLMM) -- Nonstandard GLMMs 1 : site-occupancy species distribution model -- Nonstandard GLMMSs 2: bionomial mixture model to model abundance
    Content: Bayesian statistics has exploded into biology and its sub-disciplines such as ecology over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct their own standard and non-standard Bayesian statistics. Introduction to WINBUGS for Ecologists goes right to the heart of the matter by providing ecologists with a comprehensive, yet concise, guide to applying WinBUGS to the types of models that they use most often: linear (LM), generalized linear (GLM), linear mixed (LMM) and generalized linear mixed models (GLMM). Introduction to WinBUGS for Ecologists combines the use of simulated data sets "paired" analyses using WinBUGS (in a Bayesian framework for analysis) and in R (in a frequentist mode of inference) and uses a very detailed step-by-step tutorial presentation style that really lets the reader repeat every step of the application of a given mode in their own research. - Introduction to the essential theories of key models used by ecologists - Complete juxtaposition of classical analyses in R and Bayesian Analysis of the same models in WinBUGS - Provides every detail of R and WinBUGS code required to conduct all analyses - Written with ecological language and ecological examples - Companion Web Appendix that contains all code contained in the book, additional material (including more code and solutions to exercises) - Tutorial approach shows ecologists how to implement Bayesian analysis in practical problems that they face
    Note: Includes bibliographical references and index. - Description based on print version record , Front Cover; Introduction to WinBUGS for Ecologists; Copyright; Chapter 1. Introduction; Chapter 2. Introduction to the Bayesian Analysis of a Statistical Model; Chapter 3. WinBUGS; Chapter 4. A First Session in WinBUGS: The "Model of the Mean"; Chapter 5. Running WinBUGS from R via R2WinBUGS; Chapter 6. Key Components of (Generalized) Linear Models: Statistical Distributions and the Linear Predictor; Chapter 7. t-Test: Equal and Unequal Variances; Chapter 8. Normal Linear Regression; Chapter 9. Normal One-Way ANOVA; 9.1 Introduction: Fixed and Random Effects; Chapter 10. Normal Two-Way ANOVA , Chapter 11. General Linear Model (ANCOVA)Chapter 12. Linear Mixed-Effects Model; Chapter 13. Introduction to the Generalized Linear Model: Poisson "t-test"; Chapter 14. Overdispersion, Zero-Inflation, and Offsets in the GLM; Chapter 15. Poisson ANCOVA; Chapter 16. Poisson Mixed-Effects Model (Poisson GLMM); Chapter 17. Binomial "t-Test"; Chapter 18. Binomial Analysis of Covariance; Chapter 19. Binomial Mixed-Effects Model (Binomial GLMM); Chapter 20. Nonstandard GLMMs 1: Site-Occupancy Species Distribution Model; Chapter 21. Nonstandard GLMMs 2: Binomial Mixture Model to Model Abundance , Chapter 22. ConclusionsAppendix: A List of WinBUGS Tricks
    Additional Edition: ISBN 0123786053
    Additional Edition: ISBN 1282755668
    Additional Edition: ISBN 6612755660
    Additional Edition: Erscheint auch als Druck-Ausgabe Kéry, Marc Introduction to WinBUGS for ecologists Amsterdam ; Boston : Elsevier, 2010
    Language: English
    Subjects: Biology
    RVK:
    Keywords: Electronic books
    Library Location Call Number Volume/Issue/Year Availability
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