Introduction to Bayesian Methods in Ecology and Natural Resources

Author:   Edwin J. Green ,  Andrew O. Finley ,  William E. Strawderman
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
ISBN:  

9783030607524


Pages:   183
Publication Date:   27 November 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Introduction to Bayesian Methods in Ecology and Natural Resources


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Author:   Edwin J. Green ,  Andrew O. Finley ,  William E. Strawderman
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.314kg
ISBN:  

9783030607524


ISBN 10:   3030607526
Pages:   183
Publication Date:   27 November 2021
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction.-  2. Probability Theory and Some Useful Probability Distribution.- 3. Choice of Prior Distribution.- 4.  Elementary Bayesian Analyses.- 5. Hypothesis Testing and Model Choice.-  6. Linear Models.- 7. General Linear Models.- 8. Spatial Models.

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Author Information

Edwin J. Green is Professor Emeritus, Rutgers University where he was a member of Graduate Programs in Ecology and Evolution, and in Statistics. He has published ex-tensively on Bayes and Em`pirical Bayes methods in Forestry since the mid-1980s. He is a  Fellow of the American Statistical Association and the Society of American For-esters, and has been Editor and Asssociate Editor of Forest Science and Associate Edi-tor of Environmental and Ecological Statistics. He taught a graduate course on Bayesi-an Methods in Ecology in the Ecology and Evolution Graduate Program for over two decades. Andrew O. Finley is a Professor at Michigan State University with appointments in the Department of Forestry and Department of Geography, Environment, and Spatial Sci-ences. He is also a member of the interdisciplinary Ecology, Evolutionary Biology, and Behavior Graduate Program faculty. His work focuses on developing methodologies for monitoring and modeling environmental processes, Bayesian statistics, spatial sta-tistics, and statistical computing.  William E. Strawderman is a Distinguished Professor in and former chair of the De-partment of Statistics at Rutgers University. His theoretical research focuses on Bayes-ian methods, Statistical Decision Theory and Multivariate Analysis, particularly related to Simultaneous estimation. Much of his applied research has been on Bayes and Em-pirical Bayes methods in Forestry. He is a Fellow of the American Statistical Associa-tion and the Institute of Mathematical Statistics.

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