Introduction to Hierarchical Bayesian Modeling for Ecological Data by Eric Paren

Description: Introduction to Hierarchical Bayesian Modeling for Ecological Data by Eric Parent, Etienne Rivot Bayesian statistics are becoming the contemporary standard for treating ecological data. This book is designed for readers who are interested in the quantitative analysis of environmental data yet reluctant to apply ready-made technical recipes without understanding how and why they work. It focuses on up-to-date ecological issues, including biodiversity, community behavior, and genomics, and shows how they could be revisited by using Bayesian modeling techniques. Highly practical, the text encourages readers to deal with advanced ecological issues in practice and to implement models of their own. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description Bayesian statistics are becoming the contemporary standard for treating ecological data. This book is designed for readers who are interested in the quantitative analysis of environmental data yet reluctant to apply ready-made technical recipes without understanding how and why they work. It focuses on up-to-date ecological issues, including biodiversity, community behavior, and genomics, and shows how they could be revisited by using Bayesian modeling techniques. Highly practical, the text encourages readers to deal with advanced ecological issues in practice and to implement models of their own. Author Biography ENGREF, Paris, France University of Arizona University of California, Berkeley, USA University of Michigan, Ann Arbor, USA University of California, Riverside, USA University of California Riverside, USA Bowling Green State University, Ohio, USA Southern Methodist University, Dallas, Texas, USA Rochester Institute of Technology, New York, USA Table of Contents I Basic Blocks of Bayesian Modeling: Bayesian Hierarchical Models in Statistical Ecology. The Beta-Binomial Model. The Basic Normal Model. Working with More Than One Beta-Binomial Element. Combining Various Sources of Information. The Normal Linear Model. Nonlinear Models for Stock-Recruitment Analysis. Getting beyond Regression Models. II More Elaborate Hierarchical Structures: HBM I: Borrowing Strength from Similar Units. HBM II: Piling up Simple Layers. HBM III: State-Space Modeling. Decision and Planning. Appendices. Bibliography. Index. Review "This book is a welcome addition to the Bayesian literature. It is well written and amply illustrates Bayesian methods with practical applications in fisheries management. The programs for data analyses are available on the books website, allowing users to get their hands dirty and in the process really understand the model construction and the software."— Subhash R. Lele, Ecology, 95(1), 2014"The book is well written and easy to read, and the material presented deserves a greater exposure in taught statistics courses. I thoroughly recommend the book and believe that the statistical techniques and their application to quantitative fisheries science could ideally complement a short undergraduate course in applied statistics."—Carl M. OBrien, International Statistical Review (2013), 81 Review Quote "This book is a welcome addition to the Bayesian literature. It is well written and amply illustrates Bayesian methods with practical applications in fisheries management. The programs for data analyses are available on the books website, allowing users to get their hands dirty and in the process really understand the model construction and the software." -- Subhash R. Lele, Ecology, 95(1), 2014 "The book is well written and easy to read, and the material presented deserves a greater exposure in taught statistics courses. I thoroughly recommend the book and believe that the statistical techniques and their application to quantitative fisheries science could ideally complement a short undergraduate course in applied statistics." --Carl M. OBrien, International Statistical Review (2013), 81 Details ISBN1584889195 Author Etienne Rivot Language English ISBN-10 1584889195 ISBN-13 9781584889199 Media Book Format Hardcover Imprint Chapman & Hall/CRC DEWEY 519.5 Series Chapman & Hall/CRC Applied Environmental Statistics Short Title INTRO TO HIERARCHICAL BAYESIAN Affiliation ENGREF, Paris, France DOI 10.1604/9781584889199 Series Number 8 AU Release Date 2012-08-21 NZ Release Date 2012-08-21 US Release Date 2012-08-21 UK Release Date 2012-08-21 Illustrations 45 Tables, black and white; 143 Illustrations, black and white Year 2012 Publication Date 2012-08-21 Alternative 9780367576714 Audience Professional & Vocational Pages 432 Publisher Taylor & Francis Inc Country of Publication United States We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159365524;

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