Bayesian Population Analysis using Win: BUGS. A hierarchical perspective

Content: 
Front Matter, Pages i-ii
Copyright, Page iv
Dedication, Page v
Foreword, Pages xi-xii
Preface, Pages xiii-xvi
Acknowledgments, Page xvii
Chapter 1 - Introduction, Pages 1-21
Chapter 2 - Brief Introduction to Bayesian Statistical Modeling, Pages 23-45
Chapter 3 - Introduction to the Generalized Linear Model: The Simplest Model for Count Data, Pages 47-72
Chapter 4 - Introduction to Random Effects: Conventional Poisson GLMM for Count Data, Pages 73-113
Chapter 5 - State-Space Models for Population Counts, Pages 115-132
Chapter 6 - Estimation of the Size of a Closed Population from Capture–Recapture Data, Pages 133-170
Chapter 7 - Estimation of Survival from Capture–Recapture Data Using the Cormack–Jolly–Seber Model, Pages 171-239
Chapter 8 - Estimation of Survival Using Mark-Recovery Data, Pages 241-262
Chapter 9 - Estimation of Survival and Movement from Capture–Recapture Data Using Multistate Models, Pages 263-313
Chapter 10 - Estimation of Survival, Recruitment, and Population Size from Capture–Recapture Data Using the Jolly–Seber Model, Pages 315-346
Chapter 11 - Estimation of Demographic Rates, Population Size, and Projection Matrices from Multiple Data Types Using Integrated Population Models, Pages 347-381
Chapter 12 - Estimation of Abundance from Counts in Metapopulation Designs Using the Binomial Mixture Model, Pages 383-411
Chapter 13 - Estimation of Occupancy and Species Distributions from Detection/Nondetection Data in Metapopulation Designs Using Site-Occupancy Models, Pages 413-461
Chapter 14 - Concluding Remarks, Pages 463-477
Appendix 1 - A List of WinBUGS Tricks, Pages 479-486
Appendix 2 - Two Further Useful Multistate Capture–Recapture Models, Pages 487-496
References, Pages 497-513
Index, Pages 515-537