| Data Analysis: A Bayesian Tutorial |  | Authors: Devinderjit Sivia, John Skilling
Publisher: Oxford University Press, USA
List Price: $50.00
Buy New: $36.73
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Seller: pbshop
Languages: English (Unknown), English (Original Language), English (Published)
Media: Paperback
Edition: 2
Pages: 264
Number Of Items: 1
Shipping Weight (lbs): 0.9
Dimensions (in): 9.1 x 6.1 x 0.6
ISBN: 0198568320
EAN: 9780198568322
ASIN: 0198568320
Publication Date: July 27, 2006
Availability: Usually ships in 1-2 business days
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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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