Bayesian methods for statistical analysis /

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 m...

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Bibliographic Details
Main Author: Puza, Borek D.
Format: eBook
Language:English
Published: Australia : Australian National University Press, 2015
Subjects:
Online Access:https://library.oapen.org/handle/20.500.12657/32424
Description
Summary: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.
Physical Description:1 recurso en línea (697 páginas)
ISBN:9781921934261