Bayesian Analysis of Linear Models (Statistics: A Series of Textbooks and Monographs) - Softcover

Broemeling, Lyle D.

Softcover

ISBN 10: 0367451743 ISBN 13: 9780367451745

Publisher: Routledge, 2019

Synopsis

With Bayesian statistics rapidly becoming accepted as a way to solve applied statisticalproblems, the need for a comprehensive, up-to-date source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear models from a Bayesian viewpoint,Bayesian Analysis of Linear Models fills this need. Plus, this definitive volume containssomething traditional-a review of Bayesian techniques and methods of estimation, hypothesis,testing, and forecasting as applied to the standard populations ... somethinginnovative-a new approach to mixed models and models not generally studied by statisticianssuch as linear dynamic systems and changing parameter models ... and somethingpractical-clear graphs, eary-to-understand examples, end-of-chapter problems, numerousreferences, and a distribution appendix.Comprehensible, unique, and in-depth, Bayesian Analysis of Linear Models is the definitivemonograph for statisticians, econometricians, and engineers. In addition, this text isideal for students in graduate-level courses such as linear models, econometrics, andBayesian inference.

About this title

About the Author

Broemeling,

From the Back Cover

This book presents the basic theory of linear models from a Bayesian viewpoint. It is unique in that time series models such as autoregressive moving average processes are treated as linear models in the same way the general linear model is examined.

Edition details

• Publisher: Routledge
• Publication date: 2019
• Language: English
• ISBN 10: 0367451743
• ISBN 13: 9780367451745
• Binding: Paperback
• Edition number: 1
• Number of pages: 472