Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere
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Bayesian Models - A Statistical Primer for Ecologists (Hardcover)
Loot Price: R1,226
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Bayesian Models - A Statistical Primer for Ecologists (Hardcover)
Expected to ship within 12 - 17 working days
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Bayesian modeling has become an indispensable tool for ecological
research because it is uniquely suited to deal with complexity in a
statistically coherent way. This textbook provides a comprehensive
and accessible introduction to the latest Bayesian methods--in
language ecologists can understand. Unlike other books on the
subject, this one emphasizes the principles behind the
computations, giving ecologists a big-picture understanding of how
to implement this powerful statistical approach. Bayesian Models is
an essential primer for non-statisticians. It begins with a
definition of probability and develops a step-by-step sequence of
connected ideas, including basic distribution theory, network
diagrams, hierarchical models, Markov chain Monte Carlo, and
inference from single and multiple models. This unique book places
less emphasis on computer coding, favoring instead a concise
presentation of the mathematical statistics needed to understand
how and why Bayesian analysis works. It also explains how to write
out properly formulated hierarchical Bayesian models and use them
in computing, research papers, and proposals. This primer enables
ecologists to understand the statistical principles behind Bayesian
modeling and apply them to research, teaching, policy, and
management. * Presents the mathematical and statistical foundations
of Bayesian modeling in language accessible to non-statisticians*
Covers basic distribution theory, network diagrams, hierarchical
models, Markov chain Monte Carlo, and more* Deemphasizes computer
coding in favor of basic principles* Explains how to write out
properly factored statistical expressions representing Bayesian
models
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