Applied Bayesian modelling / Peter Congdon.

By: Congdon, P
Material type: TextTextLanguage: English Publisher: Chichester, West Sussex : Wiley ; c2014Edition: 2nd edDescription: ix, 437 p. : ill. ; 25 cmISBN: 9781119951513 (cloth); 1119951518Subject(s): Bayesian statistical decision theory | Mathematical statisticsDDC classification: 519.542 LOC classification: QA279.5 | .C649 2014Online resources: WorldCat details | E-book Fulltext
Contents:
Bayesian methods and Bayesian estimation -- Hierarchical models for related units -- Regression techniques -- More advanced regression techniques -- Meta-analysis and multilevel models -- Models for time series -- Analysis of panel data -- Models for spatial outcomes and geographical association -- Latent variable and structural equation models -- Survival and event history models.
Summary: Summary: <p>This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets.
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519.542 BAY 2014 Bayesian data analysis / 519.542 BOI 2007 Introduction to Bayesian statistics / 519.542 COA 2014 Applied Bayesian modelling / 519.542 COA 2014 Applied Bayesian modelling / 519.542 LEB 2012 Bayesian statistics : 519.542 LEB 2012 Bayesian statistics : 519.542 LEB 2012 Bayesian statistics :

Online version:
Congdon, P.
Applied Bayesian modelling
Chichester, West Sussex : John Wiley & Sons, Inc., 2014
(DLC) 2014011504

Includes bibliographical references and index.

Bayesian methods and Bayesian estimation -- Hierarchical models for related units -- Regression techniques -- More advanced regression techniques -- Meta-analysis and multilevel models -- Models for time series -- Analysis of panel data -- Models for spatial outcomes and geographical association -- Latent variable and structural equation models -- Survival and event history models.

Summary:
<p>This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets.

Applied Statistics

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