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Data Analysis : A Bayesian Tutorial (Paperback)

Author: Sivia, D. S.

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Product Overview

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'.

Specifications

Publisher Oxford Univ Pr
Mfg Part# 9780198568322
SKU 202724212
Format Paperback
ISBN10 0198568320
Release Date 4/10/2007
Product Attributes
Book Format Paperback
Edition 0002
Number of Pages 0246
Publisher Oxford University Press
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