Keywords:
Population biology -- Mathematics.
;
Bayesian field theory.
;
Electronic books.
Description / Table of Contents:
Emphasizing model choice and model averaging, this book presents Bayesian methods for analyzing complex ecological data. Providing a basic introduction to Bayesian methods, 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.
Type of Medium:
Online Resource
Pages:
1 online resource (457 pages)
Edition:
1st ed.
ISBN:
9781439811887
Series Statement:
Chapman and Hall/CRC Interdisciplinary Statistics Series
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=599713
DDC:
577.8/801519542
Language:
English
Note:
Cover -- Title -- Copyright -- Contents -- Acknowledgments -- Preface -- PART I: Introduction to Statistical Analysis of Ecological Data -- CHAPTER 1: Introduction -- CHAPTER 2: Data, Models and Likelihood -- CHAPTER 3: Classical Inference Based on Likelihood -- PART II: Bayesian Techniques and Tools -- CHAPTER 4: Bayesian Inference -- CHAPTER 5: Markov Chain Monte Carlo -- CHAPTER 6: Model Discrimination -- CHAPTER 7: MCMC and RJMCMC Computer Programs -- PART III: Ecological Applications -- CHAPTER 8: Covariates, Missing Values and Random Effects -- CHAPTER 9: Multi-State Models -- CHAPTER 10: State-Space Modelling -- CHAPTER 11: Closed Populations -- Appendices -- APPENDIX A: Common Distributions -- APPENDIX B: Programming in R -- APPENDIX C: Programming in WinBUGS -- References -- Index.
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