Introduction to WinBUGS for Ecologists

Bayesian approach to regression, ANOVA, mixed models and related analyses

By
  • Marc Kery, Swiss Ornithological Institute, Sempach, Switzerland

Paperback, 320 Pages

Published: June 2010

Imprint: Academic Press

ISBN: 978-0-12-378605-0

Reviews

  • "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


Contents

  • Chapter One: Introduction

    Chapter Two: Principles of Bayesian Statistics

    Chapter Three: WinBUGS (and a little bit on R)

    Chapter Four: A First Session in WinBUGS: The "Model of the Mean"

    Chapter Five: Running WinBUGS from R via R2WinBUGS

    Chapter Six: Key Components of Generalized Linear Models: Statistical Distributions and the Linear Predictor

    Chapter Seven: T-Test: Equal and Unequal Variance

    Chapter Eight: Normal Linear Regression

    Chapter Nine: Normal One-Way ANOVA

    Chapter Ten: Interaction

    Chapter Eleven: General Linear Model (ANCOVA)

    Chapter Twelve: Linear Mixed-Effects Model

    Chapter Thirteen: Introduction to the Generalized Linear Model (GLM): Poisson T-Test

    Chapter Fourteen: Over dispersion and Offsets in the GLM

    Chapter Fifteen: Poisson ANCOVA

    Chapter Sixteen: Poisson Mixed-Effects Model (Poisson GLMM)

    Chapter Seventeen: Binomial T-Test

    Chapter Eighteen: Binomial ANCOVA

    Chapter Nineteen: Binomial Mixed-Effects Model (Binomial GLMM)

    Chapter Twenty: Non-standard GLMMs 1: Site Occupancy Distribution Model

    Chapter Twenty-One: Non-standard GLMMs 2: Binomial Mixture Model for the Modeling of True Abundance

    Chapter Twenty-Two: Conclusion and Outlook

    Acknowledgements

    References

    Solutions to Exercises

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