Data Analysis: A Bayesian Tutorial (Paperback) (ISBN-13: 9780198568322)

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'.

Author: Devinderjit Sivia, John Skilling
ISBN-10: 0198568320
ISBN-13: 9780198568322
Publisher: Oxford University Press, USA
Language: English
Published: 07/27/2006
Pages: 264
Format: Paperback
Weight: 0.91lbs
Size: 9.14h x 7.56w x 0.57d

Review Citation(s):
Scitech Book News 12/01/2006 pg. 33