Available Formats
Bayesian Models: A Statistical Primer for Ecologists
By (Author) N. Thompson Hobbs
By (author) Mevin B. Hooten
Princeton University Press
Princeton University Press
13th October 2015
United States
Tertiary Education
Non Fiction
Probability and statistics
Mathematical modelling
577.0727
Hardback
320
Width 152mm, Height 235mm
680g
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 emphas
"A refreshing and solid read for anyone confused or distracted by Bayesian recipe books."--Carsten F. Dormann, Quarterly Review of Biology
N. Thompson Hobbs is senior research scientist at the Natural Resource Ecology Laboratory and professor in the Department of Ecosystem Science and Sustainability at Colorado State University. Mevin B. Hooten is associate professor in the Department of Fish, Wildlife, and Conservation Biology and the Department of Statistics at Colorado State University, and assistant unit leader in the US Geological Survey's Colorado Cooperative Fish and Wildlife Research Unit.