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Applied Bayesian Modelling

By: Language: English Series: Wiley Series in Probability and Statistics | Balding, David J. (Ed.) | Bloomfield, Peter (Ed.) | Cressie, Noel A.C. (Ed.) | et alPublication details: Chichester, Hoboken, NJ, San Francisco, CA : John Wiley and Sons 2004, FebruaryEdition: 1. Ed., Repr. with correctionsDescription: xii, 457 ppISBN:
  • 0-471-48695-7
Subject(s): DDC classification:
  • 519 Probabilities and applied mathematics
Contents:
from the Table of Contents: Preface; The Basis for, and Advantages of, Bayesian Model Estimation via Repeated Sampling; Hierarchical Mixture Models; Regression Models; Analysis of Multi-Level Data; Models for Time Series; Analysis of Panel Data; Models for Spatial Outcomes and Geographical Association; Structural Equation and Latent Variable Models; Survival and Event History Models; Modelling and Establishing Causal Relations: Epidemiological Methods and Models; Index;
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Loanable Institute for Advanced Studies (IHS) Book 18439-A Available IHS102631608

from the Table of Contents: Preface; The Basis for, and Advantages of, Bayesian Model Estimation via Repeated Sampling; Hierarchical Mixture Models; Regression Models; Analysis of Multi-Level Data; Models for Time Series; Analysis of Panel Data; Models for Spatial Outcomes and Geographical Association; Structural Equation and Latent Variable Models; Survival and Event History Models; Modelling and Establishing Causal Relations: Epidemiological Methods and Models; Index;

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