Devinderjit Sivia

(Author)

Data Analysis: A Bayesian TutorialPaperback, 27 July 2006

Data Analysis: A Bayesian Tutorial
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Print Length
264 pages
Language
English
Publisher
Oxford University Press, USA
Date Published
27 Jul 2006
ISBN-10
0198568320
ISBN-13
9780198568322

Description

Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.

This text is intended as a tutorial guide for senior undergraduates and research students in science and engineering. After explaining the basic principles of Bayesian probability theory, their use is illustrated with a variety of examples ranging from elementary parameter estimation to image processing. Other topics covered include reliability analysis, multivariate optimization, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimental design.

The Second Edition of this successful tutorial book contains a new chapter on extensions to the ubiquitous least-squares procedure, allowing for the straightforward handling of outliers and unknown correlated noise, and a cutting-edge contribution from John Skilling on a novel numerical technique for Bayesian computation called 'nested sampling'.

Product Details

Authors:
Devinderjit SiviaJohn Skilling
Book Format:
Paperback
Country of Origin:
GB
Date Published:
27 July 2006
Dimensions:
23.22 x 19.2 x 1.45 cm
ISBN-10:
0198568320
ISBN-13:
9780198568322
Language:
English
Pages:
264
Weight:
412.77 gm

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