Applied Bayesian modelling /
Congdon, P.
Applied Bayesian modelling / Peter Congdon. - Second edition. - 1 online resource (ix, 437 pages) : illustrations. - Wiley series in probability and statistics . - Wiley series in probability and statistics. .
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.
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.
9781118895061 1118895061 9781118895054 1118895053 9781118895047 1118895045
CL0500000487 Safari Books Online
2014011504
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 books.
QA279.5
519.5/42
Applied Bayesian modelling / Peter Congdon. - Second edition. - 1 online resource (ix, 437 pages) : illustrations. - Wiley series in probability and statistics . - Wiley series in probability and statistics. .
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.
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.
9781118895061 1118895061 9781118895054 1118895053 9781118895047 1118895045
CL0500000487 Safari Books Online
2014011504
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 books.
QA279.5
519.5/42