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Preface | ||
Acknowledgements | ||
Ch. 1 | Introduction: The Bayesian Method, its benefits and Implementation | 1 |
Ch. 2 | Standard Distributions: Updating, Inference and Prediction | 11 |
Ch. 3 | Models for Association and Classification | 63 |
Ch. 4 | Normal Linear Regression, General Linear Models and Log-Linear Models | 91 |
Ch. 5 | Ensemble Estimates: Hierarchical Priors for Pooling Strength | 163 |
Ch. 6 | Latent Variables, Mixture Analysis and Models for NonResponse | 199 |
Ch. 7 | Correlated Data Models | 275 |
Ch. 8 | Multilevel Models, Multivariate Analysis and Longitudinal Models | 367 |
Ch. 9 | Life Table and Survival Analysis | 423 |
Ch. 10 | Bayesian Estimation and Model Assessment | 465 |
References | 495 | |
Index | 517 |
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