Bayesian models : a statistical primer for ecologists / N. Thompson Hobbs and Mevin B. Hooten.
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TextPublication details: Princeton : Princeton University Press, ©2015.Description: xiv, 299 p. : illustrations ; 25 cmISBN: - 9780691159287 (hardcover : alk. paper)
- 000SB:577 23 H682
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SB:577 H682 (Browse shelf(Opens below)) | Available | 137093 |
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| 000SB:577 F742 Spatial analysis | 000SB:577 G797 Sampling design and statistical methods for environmental biologists | 000SB:577 G797 Sampling design and statistical methods for environmental biologists | 000SB:577 H682 Bayesian models : | 000SB:577 K84 Bayesian data analysis in ecology using linear models with R, Bugs, and Stan / | 000SB:577 L611 Multivariate analysis of ecological data using CANOCO | 000SB:577 M123 Bayesian methods for ecology |
Includes bibliographical references and index.
1 PREVIEW;
2 DETERMINISTIC MODELS;
3 PRINCIPLES OF PROBABILITY;
4 LIKELIHOOD;
5 SIMPLE BAYESIAN MODELS;
6 HIERARCHICAL BAYESIAN MODELS;
7 MARKOV CHAIN MONTE CARLO;
8 INFERENCE FROM A SINGLE MODEL;
9 INFERENCE FROM MULTIPLE MODELS;
10 WRITING BAYESIAN MODELS;
11 PROBLEMS;
12 SOLUTIONS.
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 probabili.
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