Data Analysis: A Bayesian Tutorial (Oxford Science Publications)

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9780198518891: Data Analysis: A Bayesian Tutorial (Oxford Science Publications)

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.

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About the Author:

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

Review:


"This book is designed to be a guide to the Bayesian approach. It is certainly not an all-encompassing textbook on the subject but rather describes for the reader how one can use the Bayesian approach for standard data analyses. . . .Well written and at a modest technical level (senior undergraduate)." --Technometrics


"Sivia's tutorial explains the Bayesian approach for analyzing experimental data. In particular, stress is placed on modern developments such as maximum entropy."--Choice


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D. S. Sivia
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