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Data Analysis: A Bayesian Tutorial (Paperback)
  • Data Analysis: A Bayesian Tutorial (Paperback)

Data Analysis: A Bayesian Tutorial (Paperback)

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Paperback 264 Pages / Published: 01/06/2006
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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'.

Publisher: Oxford University Press
ISBN: 9780198568322
Number of pages: 264
Weight: 408 g
Dimensions: 233 x 159 x 15 mm
Edition: 2nd Revised edition

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