Introduction to WinBUGS for Ecologists: Bayesian Approach to - download pdf or read online

By Marc Kery

ISBN-10: 0123786053

ISBN-13: 9780123786050

Introduction to WinBUGS for Ecologists introduces utilized Bayesian modeling to ecologists utilizing the hugely acclaimed, loose WinBUGS software program. It deals an realizing of statistical types as summary representations of some of the tactics that supply upward thrust to a knowledge set. Such an figuring out is easy to the improvement of inference types adapted to express sampling and ecological eventualities. The booklet starts through featuring some great benefits of a Bayesian method of statistics and introducing the WinBUGS software program. It reports the 4 most typical statistical distributions: the conventional, the uniform, the binomial, and the Poisson. It describes the 2 other kinds of study of variance (ANOVA): one-way and - or multiway. It seems to be on the basic linear version, or ANCOVA, in R and WinBUGS. It introduces generalized linear version (GLM), i.e., the extension of the conventional linear version to permit blunders distributions except the traditional. The GLM is then prolonged comprise extra resources of random edition to turn into a generalized linear combined version (GLMM) for a Poisson instance and for a binomial instance. the ultimate chapters exhibit particularly novel and nonstandard types of a GLMM. the 1st is the site-occupancy version for species distributions; the second one is the binomial (or N-) combination version for estimation and modeling of abundance.

  • Introduction to the fundamental theories of key versions utilized by ecologists
  • Complete juxtaposition of classical analyses in R and Bayesian research of a similar types in WinBUGS
  • Provides each aspect of R and WinBUGS code required to behavior all analyses
  • Companion internet Appendix that comprises all code inside the e-book and additional fabric (including extra code and strategies to exercises)

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Introduction to WinBUGS for Ecologists: Bayesian Approach to Regression, ANOVA, Mixed Models and Related Analyses by Marc Kery

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