Download e-book for kindle: Introduction to WinBUGS for Ecologists: Bayesian Approach to by Marc Kery

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 figuring out of statistical types as summary representations of some of the techniques that supply upward thrust to an information set. Such an realizing is uncomplicated to the improvement of inference types adapted to express sampling and ecological eventualities. The publication starts by way of featuring some great benefits of a Bayesian method of data and introducing the WinBUGS software program. It studies the 4 most typical statistical distributions: the conventional, the uniform, the binomial, and the Poisson. It describes the 2 other forms of study of variance (ANOVA): one-way and - or multiway. It seems on the normal linear version, or ANCOVA, in R and WinBUGS. It introduces generalized linear version (GLM), i.e., the extension of the traditional linear version to permit blunders distributions except the traditional. The GLM is then prolonged include extra assets of random edition to turn into a generalized linear combined version (GLMM) for a Poisson instance and for a binomial instance. the ultimate chapters show off quite 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 basic theories of key types utilized by ecologists
  • Complete juxtaposition of classical analyses in R and Bayesian research of an analogous types in WinBUGS
  • Provides each aspect of R and WinBUGS code required to behavior all analyses
  • Companion net Appendix that comprises all code inside the booklet and additional fabric (including extra code and recommendations 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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