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 WinBUGSProvides every
detail of R and WinBUGS code required to conduct all
analysesCompanion Web Appendix that contains all code contained in
the book andadditional material (including more code and solutions
to exercises)"
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