Bayesian Methods for Statistical Analysis,

Author

Borek Puza

Year

2015

Publisher

ANU Press

Type

BOOK

Description

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.

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សាកលវិទ្យាល័យ ប៊ែលធី អន្តរជាតិ

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Bayesian Methods for Statistical Analysis,

Description

Following Tradition

Following Tradition

Global social work

Global social work

CalMHSA Student Mental Health Campus-Wide Survey

CalMHSA Student Mental Health Campus-Wide Survey

An Assessment of Program Sustainability in Three Bureau of Justice Assistance Criminal Justice Domains,

An Assessment of Program Sustainability in Three Bureau of Justice Assistance Criminal Justice Domains,

Dickens After Dickens

Dickens After Dickens

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