Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses [NOOK Book]

Overview

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...

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Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses

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Overview

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), 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
  • Companion Web Appendix that contains all code contained in the book and additional material (including more code and solutions to exercises)
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Editorial Reviews

From the Publisher
"I don’t believe this book was written with the goal of being treated as the primary text of an intro Bayesian statistics course. That said, it could prove to be a useful supplemental text for an introductory Bayesian course or even a linear models course. Although the book was geared towards ecologists, I believe it would be an excellent library addition for any applied modeler interested in applying Bayesian methodologies in their work."—The American Statistician
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Product Details

  • ISBN-13: 9780123786067
  • Publisher: Elsevier Science
  • Publication date: 7/19/2010
  • Sold by: Barnes & Noble
  • Format: eBook
  • Pages: 320
  • File size: 3 MB

Table of Contents

Introduction, Principles of Bayesian Statistics, WinBUGS, A First Session in WinBUGS, Running WinBUGS from R via R2WinBUGS, Key Components of Generalized Linear Models, T-Test, Normal Linear Regression, Normal One-Way ANOVA, Interaction, General Linear Model, Linear Mixed-Effects Model, Introduction to the Generalized Linear Model (GLM), Overdispersion and Offsets in the GLM, Poisson ANCOVA, Poisson Mixed-Effects Model, Binomial T-Test, Binomial ANCOVA, Binomial Mixed-Effects Model, Non-Standard GLMMs 1, Non-Standard GLMMs 2, Conclusion and Outlook, Acknowledgements, References

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