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๐Ÿ“

Introduction to Bayesian Statistics 2nd Edition

โœ Scribed by Karl-Rudolf Koch


Publisher
Springer
Year
2007
Tongue
English
Leaves
257
Edition
2nd, updated and enlarged ed.
Category
Library

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โœฆ Synopsis


This book presents Bayesโ€™ theorem, the estimation of unknown parameters, the determination of confidence regions and the derivation of tests of hypotheses for the unknown parameters. It does so in a simple manner that is easy to comprehend. The book compares traditional and Bayesian methods with the rules of probability presented in a logical way allowing an intuitive understanding of random variables and their probability distributions to be formed.

โœฆ Subjects


ะœะฐั‚ะตะผะฐั‚ะธะบะฐ;ะขะตะพั€ะธั ะฒะตั€ะพัั‚ะฝะพัั‚ะตะน ะธ ะผะฐั‚ะตะผะฐั‚ะธั‡ะตัะบะฐั ัั‚ะฐั‚ะธัั‚ะธะบะฐ;ะœะฐั‚ะตะผะฐั‚ะธั‡ะตัะบะฐั ัั‚ะฐั‚ะธัั‚ะธะบะฐ;


๐Ÿ“œ SIMILAR VOLUMES


Introduction to Bayesian Statistics, Sec
โœ William M. Bolstad ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐ŸŒ English

Praise for the First Edition"I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to introduce Bayesian statistics."โ€”Statistics in Medical Research"[This book] is written in a lucid conversational style, which is so rare in mathemat

Introduction to Bayesian Statistics, Sec
โœ William M. Bolstad(auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐ŸŒ English

<b>Praise for the <i>First Edition</i></b><p> "I cannot think of a better book for teachers of introductory statistics who want a readable and pedagogically sound text to introduce Bayesian statistics."<br> โ€”<i>Statistics in Medical Research</i><p> "[This book] is written in a lucid conversational s

Introduction to Bayesian Statistics
โœ Professor Dr.-Ing., Dr.-Ing. E.h. mult. Karl-Rudolf Koch (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p><P>From the reviews of the second edition:</P><P></P><P>"This is a well-written introduction to Bayesian Analysis that contains many applications to Geodesy and Engineering at the cutting edge of these topics. โ€ฆ There is a good treatment of Bayesian Analysis of Linear Models โ€ฆ . The references ar