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
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"I dont 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 PredictorChapter Seven: T-Test: Equal and Unequal Variance
Chapter Eight: Normal Linear RegressionChapter Nine: Normal One-Way ANOVA
Chapter Ten: InteractionChapter Eleven: General Linear Model (ANCOVA)
Chapter Twelve: Linear Mixed-Effects ModelChapter Thirteen: Introduction to the Generalized Linear Model (GLM): Poisson T-Test
Chapter Fourteen: Over dispersion and Offsets in the GLMChapter Fifteen: Poisson ANCOVA
Chapter Sixteen: Poisson Mixed-Effects Model (Poisson GLMM)Chapter Seventeen: Binomial T-Test
Chapter Eighteen: Binomial ANCOVAChapter Nineteen: Binomial Mixed-Effects Model (Binomial GLMM)
Chapter Twenty: Non-standard GLMMs 1: Site Occupancy Distribution ModelChapter Twenty-One: Non-standard GLMMs 2: Binomial Mixture Model for the Modeling of True Abundance
Chapter Twenty-Two: Conclusion and OutlookAcknowledgements
ReferencesSolutions to Exercises

