| Author: |
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Devinderjit Sivia
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| Title: |
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Data Analysis: A Bayesian Tutorial |
| Moochable copies: |
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No copies available |
| Topics: |
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| Published in: |
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English |
| Binding: |
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Hardcover |
| Pages: |
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264 |
| Date: |
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2006-07-27 |
| ISBN: |
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0198568312 |
| Publisher: |
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Oxford University Press, USA |
| Weight: |
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1.23 pounds |
| Size: |
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6.38 x 9.29 x 1.1 inches |
| Edition: |
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2 |
Amazon prices: |
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| Description: |
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Product Description
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 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'.
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| URL: |
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http://bookmooch.com/0198568312 |
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