Bayesian Statistical Modelling
Language: English Series: Wiley Series in Probability and Statistics | Applied Probability and Statistics Section | Bloomfield, Peter (Ed.) | Cressie, Noel A.C. (Ed.) | Fisher, Nicholas I. (Ed.) | et alPublication details: Chichester, New York, Weinheim : John Wiley and Sons 2003, JuneEdition: 1. Ed., ReprDescription: x, 529 ppISBN:- 0-471-49600-6
- 519 Probabilities and applied mathematics
Item type | Current library | Shelving location | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Loanable | Institute for Advanced Studies (IHS) | Book | 18438-A | Available | IHS102631505 |
from the Table of Contents: Preface; Acknowledgements; Introduction: The Bayesian Method, its Benefits and Implementation; Standard Distributions: Updating, Inference and Prediction; Models for Association and Classification; Normal Linear Regression, General Linear Models and Log-Linear Models; Ensemble Estimates: Hierarchical Priors for Pooling Strength; Latent Variables, Mixture Analysis and Models for NonResponse; Correlated Data Models; Multilevel Models, Multivariate Analysis and Longitudinal Models; Life Table and Survival Analysis; Bayesian Estimation and Model Assessment; References; Index;
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