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OverviewStatistics 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'. Full Product DetailsAuthor: Devinderjit Sivia (Rutherford Appleton Laboratory and St Catherine's College, Oxford) , John Skilling (Maximum Entropy Data Consultants)Publisher: Oxford University Press Imprint: Oxford University Press Edition: 2nd Revised edition Dimensions: Width: 15.90cm , Height: 1.50cm , Length: 23.30cm Weight: 0.408kg ISBN: 9780198568322ISBN 10: 0198568320 Pages: 264 Publication Date: 01 June 2006 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Out of Stock Indefinitely Availability: In Print  Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of ContentsReviews`Review from previous edition Providing a clear rationale for some of the most widely used procedures.' European Journal of Engineering Education `This small (less than 200 pages) but much-needed book contains a wealth of worked-out numerical examples of Bayesian treatments of data, expounded from a theoretical standpoint identical to ours. It should be considered an adjunct to the present work, supplying a great deal of practical advice for the beginner, at an elementary level that will be grasped readily by every science or engineering student. ' Ed Jaynes in 'Probability Theory: The Logic of Science', CUP 2003 One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. Katie St. Clair MAA Reviews One of the strengths of this book is the author's ability to motivate the use of Bayesian methods through simple yet effective examples. * Katie St. Clair MAA Reviews * Author InformationDevinderjit Singh Sivia Rutherford Appleton Laboratory Chilton Oxon OX11 5DJ John Skilling Maximum Entropy Data Consultants 42 Southgate Street Bury St Edmonds Suffolk IP33 2AZ Tab Content 6Author Website:Countries AvailableAll regions |
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