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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: R1,196
Discovery Miles 11 960
Bayesian Models - A Statistical Primer for Ecologists (Hardcover): N. Thompson Hobbs, Mevin Hooten

Bayesian Models - A Statistical Primer for Ecologists (Hardcover)

N. Thompson Hobbs, Mevin Hooten

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Loot Price R1,196 Discovery Miles 11 960 | Repayment Terms: R112 pm x 12*

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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

General

Imprint: Princeton University Press
Country of origin: United States
Release date: August 2015
First published: 2015
Authors: N. Thompson Hobbs • Mevin Hooten
Dimensions: 235 x 152 x 24mm (L x W x T)
Format: Hardcover - Trade binding
Pages: 320
ISBN-13: 978-0-691-15928-7
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Ecological science, the Biosphere
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LSN: 0-691-15928-9
Barcode: 9780691159287

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