E-Books durchsuchen
Bayesian Statistical Modelling [2006]
- 1
-
Introduction: The Bayesian Method, its Benefits and Implementation
- 25
-
Bayesian Model Choice, Comparison and Checking
- 63
-
The Major Densities and their Application
- 109
-
Normal Linear Regression, General Linear Models and Log‐Linear Models
- 151
-
Hierarchical Priors for Pooling Strength and Overdispersed Regression Modelling
- 187
-
Discrete Mixture Priors
- 219
-
Multinomial and Ordinal Regression Models
- 241
-
Time Series Models
- 297
-
Modelling Spatial Dependencies
- 333
-
Nonlinear and Nonparametric Regression
- 367
-
Multilevel and Panel Data Models
- 425
-
Latent Variable and Structural Equation Models for Multivariate Data
- 457
-
Survival and Event History Analysis
- 493
-
Missing Data Models
- 533
-
Measurement Error, Seemingly Unrelated Regressions, and Simultaneous Equations
- 561
-
Appendix 1: A Brief Guide to Using WINBUGS
- 565
-
Index
- 574
-
Wiley Series in Probability and Statistics
- i
-
Front Matter