Data Analysis: A Bayesian Tutorial
Paperback or Softback 264 pages Jul 27, 2006
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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'.
- Author:
- Devinderjit Sivia
- Publisher:
- Oxford University Press
- Publication Date:
- Jul 27, 2006
- Number of pages:
- 264 pages
- Binding:
- Paperback or Softback
- ISBN-10:
- 0198568320
- ISBN-13:
- 9780198568322