Introduction to WinBUGS for Ecologists: Bayesian approach to

Condition - Very Good
The item shows wear from consistent use, but it remains in good condition and functions properly. Item may arrive with damaged packaging or be repackaged. It may be marked, have identifying markings on it, or have minor cosmetic damage. It may also be missing some parts/accessories or bundled items.

Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses
Introduction to WinBUGS for Ecologists introduces applied Bayesian modeling to ecologists using the highly acclaimed, free WinBUGS software. It offers an understanding of statistical models as abstract representations of the various processes that give rise to a data set. Such an understanding is basic to the development of inference models tailored to specific sampling and ecological scenarios. The book begins by presenting the advantages of a Bayesian approach to statistics and introducing the WinBUGS software. It reviews the four most common statistical distributions: the normal, the uniform, the binomial, and the Poisson. It describes the two different kinds of analysis of variance (ANOVA): one-way and two- or multiway. It looks at the general linear model, or ANCOVA, in R and WinBUGS. It introduces generalized linear model (GLM), i.e., the extension of the normal linear model to allow error distributions other than the normal. The GLM is then extended contain additional sources of random variation to become a generalized linear mixed model (GLMM) for a Poisson example and for a binomial example. The final two chapters showcase two fairly novel and nonstandard versions of a GLMM. The first is the site-occupancy model for species distributions; the second is the binomial (or N-) mixture model for estimation and modeling of abundance.
- 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 andÂ additional material (including more code and solutions to exercises)
Country USA
Brand Academic Press
Manufacturer Academic Press
Binding Paperback
ItemPartNumber YES3738408
Model YES3738408
ReleaseDate 2010-07-01
UnitCount 1
Format Illustrated
EANs 9780123786050

Country	USA
Brand	Academic Press
Manufacturer	Academic Press
Binding	Paperback
ItemPartNumber	YES3738408
Model	YES3738408
ReleaseDate	2010-07-01
UnitCount	1
Format	Illustrated
EANs	9780123786050

Introduction to WinBUGS for Ecologists: Bayesian approach to regression, ANOVA, mixed models and related analyses

You might also like...