Bayesian models : a statistical primer for ecologists / N. Thompson Hobbs and Mevin B. Hooten.
Material type:
TextLanguage: English Copyright date: Princeton, New Jersey : Princeton University Press , 2015Edition: First EditionDescription: xiv, 299 pages : illustrations ; 25 cmISBN: - 9780691159287 (hardcover : alk. paper)
- 577.015195
- QH541.15.S72 H63 2015
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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Colección general
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Biblioteca Yachay Tech | 577.015195 H6826b 2015 (Browse shelf(Opens below)) | Ej. 1 | Available | 005584 | |||
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Colección general
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Biblioteca Yachay Tech | 577.015195 H6826b 2015 (Browse shelf(Opens below)) | Ej. 2 | Available | 005585 | |||
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Colección general
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Biblioteca Yachay Tech | 577.015195 H6826b 2015 (Browse shelf(Opens below)) | Ej. 3 | Available | 005586 |
includes index.
Includes bibliographical references (pages 283-290).
Deterministic models -- Principles of probability -- Likelihood -- Simple bayesian models -- Hierarchicañ bayesian models -- Markov chain monte carlo-- Inference from a single model -- INference from multiple models -- Writing bayesian models
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.
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