Download or Read online **Bayesian Inference in Statistical Analysis** full in PDF, ePub and kindle. this book written by George E. P. Box and published by John Wiley & Sons which was released on 25 January 2011 with total page 608 pages. We cannot guarantee that Bayesian Inference in Statistical Analysis book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inferences must be made regarding parameter values about which little is known a priori. Begins with a discussion of some important general aspects of the Bayesian approach such as the choice of prior distribution, particularly noninformative prior distribution, the problem of nuisance parameters and the role of sufficient statistics, followed by many standard problems concerned with the comparison of location and scale parameters. The main thrust is an investigation of questions with appropriate analysis of mathematical results which are illustrated with numerical examples, providing evidence of the value of the Bayesian approach.

# Bayesian Inference in Statistical Analysis

**Produk Detail:**

- Author : George E. P. Box
- Publisher : John Wiley & Sons
- Pages : 608 pages
- ISBN : 111803144X
- Release : 25 January 2011
- Rating : /5 from reviews