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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. Used - Good. . . All orders guaranteed and ship within 24 hours. Your purchase supports More Than Words, a nonprofit job training program for youth, empowering youth to take charge of their lives by taking charge of a business.
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Details

  • Title Data Analysis: A Bayesian Tutorial
  • Author Sivia, Devinderjit
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Condition Used - Good
  • 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 # WAL-T-4b-01489
  • 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)
  • Category Mathematics
  • Dewey Decimal Code 519.542

About More Than Words Inc. Massachusetts, United States

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More Than Words empowers youth who are in foster care, court-involved, homeless or out of school to take charge of their lives by taking charge of a business. MTW believes that when system-involved youth are challenged with authentic and increasing responsibilities in a business setting, and are given high expectations and a culture of support, they can and will address personal barriers to success, create concrete action plans for their lives, and become contributing members of society. More Than Words began as an online bookselling training program for youth in DCF custody in 2004 and opened its vibrant bookstore on Moody St in Waltham in 2005 and added its Starbucks coffee bar in 2008. MTW replicated its model in the South End of Boston in 2011, thereby doubling the number of youth served annually.

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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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