03488nam 2200577Ia 450 991081829860332120200520144314.01-282-75566-897866127556680-12-378606-1(CKB)2550000000014106(EBL)629953(OCoLC)643060708(SSID)ssj0000421067(PQKBManifestationID)12154533(PQKBTitleCode)TC0000421067(PQKBWorkID)10407453(PQKB)10827941(MiAaPQ)EBC629953(Au-PeEL)EBL629953(CaPaEBR)ebr10408195(CaONFJC)MIL275566(EXLCZ)99255000000001410620091208d2010 uy 0engurcn|||||||||txtccrIntroduction to WinBUGS for ecologists Bayesian approach to regression, ANOVA, mixed models and related analyses /Marc Kery1st ed.Amsterdam ;Boston Elsevier20101 online resource (321 p.)Description based upon print version of record.0-12-378605-3 Includes bibliographical references and index.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 ANOVAChapter 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 AbundanceChapter 22. Conclusions Appendix: A List of WinBUGS TricksBayesian 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),BiometryData processingBiometryData processing.577.01/5118Kery Marc0MiAaPQMiAaPQMiAaPQBOOK9910818298603321Introduction to WinBUGS for ecologists4110441UNINA