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Bayesian analysis for population ecology

King, Ruth, (1977-)

Bayesian analysis for population ecology

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Bayesian analysis for population ecologyRuth King ... [et al.].
其他作者:	King, Ruth,
出版者:	Boca Raton :Chapman & Hall/CRC,c2010.
面頁冊數:	1 online resource (xiii, 442 p.) :ill.
標題:	Population biologyMathematics.
電子資源:	http://www.crcnetbase.com/isbn/978-1-4398-1187-0
ISBN:	9781439811887 (electronic bk.)

Bayesian analysis for population ecology
Bayesian analysis for population ecology[electronic resource] /Ruth King ... [et al.]. - Boca Raton :Chapman & Hall/CRC,c2010. - 1 online resource (xiii, 442 p.) :ill. - Interdisciplinary statistics series. - Interdisciplinary statistics..

Includes bibliographical references and index.

Introduction to Statistical Analysis of Ecological Data -- Data, Models and Likelihoods -- Classical Inference Based on Likelihood -- Bayesian Inference -- Markov Chain Monte Carlo -- Model Discrimination -- MCMC and RJMCMC Computer Programs -- Covariates, Missing Values and Random Effects -- Multi-State Models -- State-Space Modelling -- Closed Populations -- A. Common Distributions -- B. Programming in R -- C. Programming in WinBUGS.

"Emphasizing model choice and model averaging, this book presents up-to-date Bayesian methods for analyzing complex ecological data. It provides a basic introduction to Bayesian methods that assumes no prior knowledge. The book includes detailed descriptions of methods that deal with covariate data and covers techniques at the forefront of research, such as model discrimination and model averaging. Leaders in the statistical ecology field, the authors apply the theory to a wide range of actual case studies and illustrate the methods using WinBUGS and R. The computer programs and full details of the data sets are available on the book's website"--Provided by publisher.

ISBN: 9781439811887 (electronic bk.)Subjects--Topical Terms:

508443
Population biology
--Mathematics.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QH352 / .B38 2010eb

Dewey Class. No.: 577.8/801519542

National Library of Medicine Call No.: QH 352

Bayesian analysis for population ecology
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245 0 0 $a Bayesian analysis for population ecology $h [electronic resource] / $c Ruth King ... [et al.].
260 $a Boca Raton : $b Chapman & Hall/CRC, $c c2010.
300 $a 1 online resource (xiii, 442 p.) : $b ill.
490 1 $a Interdisciplinary statistics series
504 $a Includes bibliographical references and index.
505 0 $a Introduction to Statistical Analysis of Ecological Data -- Data, Models and Likelihoods -- Classical Inference Based on Likelihood -- Bayesian Inference -- Markov Chain Monte Carlo -- Model Discrimination -- MCMC and RJMCMC Computer Programs -- Covariates, Missing Values and Random Effects -- Multi-State Models -- State-Space Modelling -- Closed Populations -- A. Common Distributions -- B. Programming in R -- C. Programming in WinBUGS.
520 $a "Emphasizing model choice and model averaging, this book presents up-to-date Bayesian methods for analyzing complex ecological data. It provides a basic introduction to Bayesian methods that assumes no prior knowledge. The book includes detailed descriptions of methods that deal with covariate data and covers techniques at the forefront of research, such as model discrimination and model averaging. Leaders in the statistical ecology field, the authors apply the theory to a wide range of actual case studies and illustrate the methods using WinBUGS and R. The computer programs and full details of the data sets are available on the book's website"--Provided by publisher.
588 $a Description based on print version record.
650 0 $a Population biology $x Mathematics. $3 508443
650 0 $a Bayesian field theory. $3 508444
650 2 $a Bayes Theorem. $3 230798
650 2 $a Fertility. $3 302138
650 2 $a Genetics, Population. $3 281571
650 2 $a Reproduction. $3 230250
655 0 $a Electronic books. $2 local. $3 214472
700 1 $a King, Ruth, $d 1977- $3 508442
830 0 $a Interdisciplinary statistics. $3 242048
856 4 0 $u http://www.crcnetbase.com/isbn/978-1-4398-1187-0