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Book synopsis

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 optimisation, 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'.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Data Analysis
• Subtitle: A Bayesian Tutorial
• Author: Devinderjit Sivia, John Skilling
• Language: English
• Binding: Hardback
• Number of pages: 260
• EAN: 9780198568315
• ISBN: 0198568312
• ID: 04527882
• Publisher: Oxford University Press
• Weight: 524 g
• Dimensions: 240 × 163 × 22 mm
• Date of publishing: 01. June 2006

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