Introduction to Bayesian Methods in Ecology and Natural Resources (Hardcover, 1st ed. 2020)

This book presents modern Bayesian analysis in a format that is accessible to researchers in the fields of ecology, wildlife biology, and natural resource management. Bayesian analysis has undergone a remarkable transformation since the early 1990s. Widespread adoption of Markov chain Monte Carlo techniques has made the Bayesian paradigm the viable alternative to classical statistical procedures for scientific inference. The Bayesian approach has a number of desirable qualities, three chief ones being: i) the mathematical procedure is always the same, allowing the analyst to concentrate on the scientific aspects of the problem; ii) historical information is readily used, when appropriate; and iii) hierarchical models are readily accommodated. This monograph contains numerous worked examples and the requisite computer programs. The latter are easily modified to meet new situations. A primer on probability distributions is also included because these form the basis of Bayesian inference. Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	December 2020
First published:	2020
Authors:	Edwin J. Green • Andrew O. Finley • William E Strawderman
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	183
Edition:	1st ed. 2020
ISBN-13:	978-3-03-060749-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Agriculture & farming > Forestry & silviculture: practice & techniques Books > Science & Mathematics > Biology, life sciences > Zoology & animal sciences > Animal ecology Books > Earth & environment > The environment > Applied ecology > General Promotions
LSN:	3-03-060749-6
Barcode:	9783030607494

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