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Data Analysis: A Bayesian Tutorial

Sivia, D. S.

72 ratings by Goodreads
ISBN 10: 0198518897 / ISBN 13: 9780198518891
Published by Oxford Univ Pr, 1996
Used Condition: Very Good
From Moe's Books (Berkeley, CA, U.S.A.)

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0198518897 0198518897 Very Good. (Binding: Soft Cover, Jacket: No Jacket) name written on front endpaper. Covers have light fading on top edge. Bookseller Inventory # 1081109

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Bibliographic Details

Title: Data Analysis: A Bayesian Tutorial

Publisher: Oxford Univ Pr

Publication Date: 1996

Book Condition:Very Good

About this title


This is the first book on the maximum entropy and Bayesian methods aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a wide variety of problems in data analysis. 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. As a logical and unified approach to the subject of data analysis, with a self-contained tutorial approach, this work will be valued by instructors and students alike.

About the Author:

D. S. Sivia, Rutherford Appleton Laboratory and St Catherine's College, Oxford.

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