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Chapter 2: The Beta-Binomial model
Chapter 3: The Basic Normal model
Chapter 4: Working with more than one Beta-Binomial element
Chapter 5: Combining various sources of information to estimate the size of salmon spawning run
Chapter 6: The linear Normal model
Chapter 7: Non linear models for stock-recruitment analysis
Chapter 8: Getting beyond regression models
Chapter 9: HBM I - Borrowing strength from similar units
Chapter 10: HBM II - Combine sub models and integrate multiple sources of data
Chapter 11: HBM III - State-space modeling
Chapter 12: Decision and risk analysis
Appendix C: An historical example of hierarchical modeling
Exercices & Workshop
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