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Can I read Introduction to WinBUGS for ecologists : a Bayesian approach to regression, ANOVA, mixed models and related analyses on EtoBox?

Introduction to WinBUGS for ecologists : a Bayesian approach to regression, ANOVA, mixed models and related analyses by Marc Kéry is a nonfiction available to read on EtoBox.

What is Introduction to WinBUGS for ecologists : a Bayesian approach to regression, ANOVA, mixed models and related analyses about?

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 their own 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 Ba

Who reads Introduction to WinBUGS for ecologists : a Bayesian approach to regression, ANOVA, mixed models and related analyses?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Marc Kéry
Publisher
Academic Press, Incorporated
Published
2010
Language
EN
ISBN
9780123786050
Category
nonfiction
Subjects
Science, Biology, Biostatistics

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