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Data Analysis A Bayesian Tutorial

ISBN-10: 0198568320
ISBN-13: 9780198568322
Edition: 2nd 2006 (Revised)
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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  More...

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Book details

List price: $53.00
Edition: 2nd
Copyright year: 2006
Publisher: Oxford University Press, Incorporated
Publication date: 7/27/2006
Binding: Paperback
Pages: 264
Size: 6.00" wide x 9.00" long x 1.00" tall
Weight: 1.100
Language: English

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 optimisation, least-squares and maximum likelihood, error-propagation, hypothesis testing, maximum entropy and experimentaldesign.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'.

Sivia: The Basics
Sivia: Parameter Estimation I
Sivia: Parameter Estimation II
Sivia: Model Selection
Sivia: Assigning Probabilities
Sivia: Non-parametric Estimation
Sivia: Experimental Design
Sivia: Least-Squares Extensions
Skilling: Nested Sampling
Skilling: Quantification
Appendices
Bibliography

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