Download the fantastic book titled Bayesian Methods for Statistical Analysis written by Borek Puza, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Bayesian Methods for Statistical Analysis", which was released on 01 October 2015. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.
Summary of Bayesian Methods for Statistical Analysis by Borek Puza PDF
Bayesian Methods for Statistical Analysis is a book on statistical methods for analysing a wide variety of data. The book consists of 12 chapters, starting with basic concepts and covering numerous topics, including Bayesian estimation, decision theory, prediction, hypothesis testing, hierarchical models, Markov chain Monte Carlo methods, finite population inference, biased sampling and nonignorable nonresponse. The book contains many exercises, all with worked solutions, including complete computer code. It is suitable for self-study or a semester-long course, with three hours of lectures and one tutorial per week for 13 weeks.
Detail About Bayesian Methods for Statistical Analysis PDF
- Author : Borek Puza
- Publisher : ANU Press
- Genre : Mathematics
- Total Pages : 698 pages
- ISBN : 1921934263
- Release Date : 01 October 2015
- PDF File Size : 11,8 Mb
- Language : English
- Rating : 4/5 from 21 reviews
Clicking on the GET BOOK button will initiate the downloading process of Bayesian Methods for Statistical Analysis by Borek Puza. This book is available in ePub and PDF format with a single click unlimited downloads.