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Introduction To Win Bugs For Ecologists A Bayesian Approach To Regression Anova Mixed Models And Related Analyses 1st Edition Marc Kry Auth

  • SKU: BELL-4556270
Introduction To Win Bugs For Ecologists A Bayesian Approach To Regression Anova Mixed Models And Related Analyses 1st Edition Marc Kry Auth
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Introduction To Win Bugs For Ecologists A Bayesian Approach To Regression Anova Mixed Models And Related Analyses 1st Edition Marc Kry Auth instant download after payment.

Publisher: Academic Press
File Extension: PDF
File size: 13.46 MB
Pages: 301
Author: Marc Kéry (Auth.)
ISBN: 9780123786050, 0123786053
Language: English
Year: 2010
Edition: 1

Product desciption

Introduction To Win Bugs For Ecologists A Bayesian Approach To Regression Anova Mixed Models And Related Analyses 1st Edition Marc Kry Auth by Marc Kéry (auth.) 9780123786050, 0123786053 instant download after payment.

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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