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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'.
Product details
- Type:
- Book
- Binding:
- Paperback
- Edition:
- 2
- Languages:
-
Original:
English
- Number of Pages:
-
260
- Publisher:
-
OUP UK
- Publication Date:
-
2006-07-01
- Release Date:
-
2006-06-01
- ISBN / EAN:
-
9780198568322
- Weight:
-
401 g
- Dimensions:
-
16/23/2 cm
- GPSR Manufacturer Reference:
-
[email protected]
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