Data Analysis A Bayesian Tutorial

Author/creator Sivia, D. S. Author
Other author Skilling, J. As told to
Format Electronic
Edition2nd ed.,Revised
Publication InfoNew York : Oxford University Press, Incorporated
Description264 p. ill 06.100 x 09.100 in.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Summary Annotation 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.<br /><br />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.<br /><br />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'.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
ISBN9780198568322
ISBN0198568320 (Perfect) Active Record
Standard identifier# 9780198568322
Stock number00020142

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