TY  - BOOK
AU  - Hobbs,N.Thompson
AU  - Hooten,Mevin B.
TI  - Bayesian models: a statistical primer for ecologists 
SN  - 9780691159287 (hardcover : alk. paper)
U1  - 000SB:577 23
PY  - 2015///
CY  - Princeton
PB  - Princeton University Press
KW  - Ecology
KW  - Statistical methods
KW  - Bayesian statistical decision theory
N1  - 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.
N2  - 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
ER  -