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Bayesian Analysis of Linear Models: Statistics: A Series of Textbooks and Monographs

Autor Broemeling
en Limba Engleză Paperback – 2 dec 2019
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.
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Specificații

ISBN-13: 9780367451745
ISBN-10: 0367451743
Pagini: 472
Dimensiuni: 156 x 234 x 24 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Statistics: A Series of Textbooks and Monographs


Public țintă

Undergraduate

Cuprins

1. Bayesian Inference for the General Linear Model 2. Linear Statistical Models and Bayesian Inference 3. The Traditional Unear Models 4. The Mixed Model 5. Time Series Models 6. Linear Dynamic Systems 7. Structural Change in Linear Models 8. Multivariate Linear Models 9. Looking Ahead

Descriere

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.