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Data Analysis: A Bayesian Tutorial

Data Analysis: A Bayesian Tutorial

Data Analysis: A Bayesian Tutorial
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Data Analysis: A Bayesian Tutorial Paperback - 2006 - 2nd Edition

by Sivia, Devinderjit

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OXFORD UNIVERSITY PRESS, 2006-07-27. 2. paperback. New. 9.21x6.14x0.55. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Data Analysis: A Bayesian Tutorial
  • Author Sivia, Devinderjit
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Condition New
  • Pages 264
  • Volumes 1
  • Language ENG
  • Publisher OXFORD UNIVERSITY PRESS
  • Publication date 2006-07-27
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # DADAX0198568320
  • ISBN 9780198568322 / 0198568320
  • Weight 0.91 lbs (0.41 kg)
  • Dimensions 9.14 x 7.56 x 0.57 in (23.22 x 19.20 x 1.45 cm)
  • Size 9.21x6.14x0.55
  • Category Mathematics
  • Dewey Decimal Code 519.542
  • Quantity available 10

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Reader reviews for Data Analysis: A Bayesian Tutorial

From the publisher

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'.

Media reviews

Citations

  • Scitech Book News, 12/01/2006, Page 33

About the author

Devinderjit Singh Sivia
Rutherford Appleton Laboratory
Chilton
Oxon
OX11 5DJ John Skilling
Maximum Entropy Data Consultants
42 Southgate Street
Bury St Edmonds
Suffolk
IP33 2AZ
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