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Bayesian Data Analysis for Animal Scientists - The Basics (Hardcover, 1st ed. 2017)
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Bayesian Data Analysis for Animal Scientists - The Basics (Hardcover, 1st ed. 2017)
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In this book, we provide an easy introduction to Bayesian inference
using MCMC techniques, making most topics intuitively reasonable
and deriving to appendixes the more complicated matters. The
biologist or the agricultural researcher does not normally have a
background in Bayesian statistics, having difficulties in following
the technical books introducing Bayesian techniques. The
difficulties arise from the way of making inferences, which is
completely different in the Bayesian school, and from the
difficulties in understanding complicated matters such as the MCMC
numerical methods. We compare both schools, classic and Bayesian,
underlying the advantages of Bayesian solutions, and proposing
inferences based in relevant differences, guaranteed values,
probabilities of similitude or the use of ratios. We also give a
scope of complex problems that can be solved using Bayesian
statistics, and we end the book explaining the difficulties
associated to model choice and the use of small samples. The book
has a practical orientation and uses simple models to introduce the
reader in this increasingly popular school of inference.
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