Data analysis : a Bayesian tutorial / D.S. Sivia.
"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 ba...
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| Main Author: | |
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| Format: | Book |
| Language: | English |
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Oxford : New York :
Clarendon Press ; Oxford University Press,
1996.
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| Series: | Oxford science publications.
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| Subjects: |
| Summary: | "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."--Publisher description. |
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| Physical Description: | xi, 189 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references (pages 182-184) and index. |
| ISBN: | 0198517629 9780198517627 0198518897 9780198518891 |