Bayesian Analysis of Linear Models

di Broemeling (Autore)

Taylor & Francis Ltd, 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.

• Autore: Broemeling
• Editore: Taylor & Francis Ltd
• Collana: Statistics: A Series of Textbooks and Monographs
• Anno: 2019
• Rilegatura: Paperback / softback
• Pagine: 472 p.
• Dimensioni: 234 x 156 mm
• Peso: 453 gr.
• EAN: 9780367451745

Testo in English