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Sinopsis
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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Acerca del autor
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.
De la contraportada
<div><div><div><p>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.</p><p>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.</p><p>Researchers and graduate students in Ecology and Natural Resource Management will find this book a valuable reference.</p></div></div></div><p></p><p></p><p></p>
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- EditorialSpringer
- Año de publicación2021
- ISBN 10 3030607526
- ISBN 13 9783030607524
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de edición1
- Número de páginas200
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Introduction to Bayesian Methods in Ecology and Natural Resources
Publicado por
Springer International Publishing Nov 2021, 2021
ISBN 10: 3030607526
ISBN 13: 9783030607524
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 200 pp. Englisch. Nº de ref. del artículo: 9783030607524
Cantidad disponible: 2 disponibles
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Introduction to Bayesian Methods in Ecology and Natural Resources
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Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030607526
ISBN 13: 9783030607524
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.This book presents modern Bayesian analysis in a format that is accessible to resear. Nº de ref. del artículo: 523473265
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Introduction to Bayesian Methods in Ecology and Natural Resources
Publicado por
Springer International Publishing, Springer International Publishing, 2021
ISBN 10: 3030607526
ISBN 13: 9783030607524
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783030607524
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Introduction to Bayesian Methods in Ecology and Natural Resources
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Springer International Publishing, Springer Nature Switzerland Nov 2021, 2021
ISBN 10: 3030607526
ISBN 13: 9783030607524
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Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 200 pp. Englisch. Nº de ref. del artículo: 9783030607524
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Introduction to Bayesian Methods in Ecology and Natural Resources
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Paperback. Condición: Brand New. 195 pages. 9.25x6.10x0.43 inches. In Stock. Nº de ref. del artículo: 3030607526
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