Applied Bayesian modelling / [electronic resource]

by Congdon, P.

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BookSeries: Wiley series in probability and statistics: Publisher: Chichester, West Sussex : John Wiley & Sons, 2014.Edition: Second edition.Description: 1 online resource (ix, 437 pages) : illustrations.ISBN: 9781118895061; 1118895061; 9781118895054; 1118895053; 9781118895047; 1118895045.Subject(s): Bayesian statistical decision theory | Mathematical statistics | Bayesian statistical decision theory | Mathematical statistics | MATHEMATICS -- Applied | MATHEMATICS -- Probability & Statistics -- General | Bayesian statistical decision theory | Mathematical statistics | Bayesian statistical decision theory | Mathematical statistics | Electronic books | Electronic booksOnline resources: Wiley Online Library

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: This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using Win.

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Includes bibliographical references and index.

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using Win.

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Dhaka University Library Online

Applied Bayesian modelling / [electronic resource]

by Congdon, P.