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100   $a20091208d2010      uy             0
101 0 $aeng
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181   $ctxt
182   $cc
183   $acr
200 10$aIntroduction to WinBUGS for ecologists$b[electronic resource] $eBayesian approach to regression, ANOVA, mixed models and related analyses /$fMarc Ke?ry
205   $a1st ed.
210   $aAmsterdam ;$aBoston $cElsevier$d2010
215   $a1 online resource (321 p.)
300   $aDescription based upon print version of record.
311   $a0-12-378605-3 
320   $aIncludes bibliographical references and index.
327   $aFront 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
327   $aChapter 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
327   $aChapter 22. Conclusions Appendix: A List of WinBUGS Tricks
330   $aBayesian 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),
606   $aBiometry$xData processing
615  0$aBiometry$xData processing.
676   $a577.01/5118
700   $aKe?ry$b Marc$01471102
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910781160303321
996   $aIntroduction to WinBUGS for ecologists$93683264
997   $aUNINA