Bayesian Logical Data Analysis for the Physical Sciences: A Comparative Approach with Mathematica® Support Illustrated Edition

4.2 out of 5 stars 9 ratings
ISBN-13: 978-0521841504
ISBN-10: 052184150X
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Editorial Reviews

Review

"All researchers and scientists who are interested in the Bayesian scientific paradigm can benefit greatly from the examples and illustrations here. It is a welcome addition to the vast literature on Bayesian inference."
Sreenivasan Ravi, University of Mysore, Manasagangotri


"The book can easily keep the readers amazed and attracted to its content throughout the read and make them want to return back to it recursively. It presents a perfect balance between theoretical inference and a practical know-how approach to Bayesian methods."
Stan Lipovetsky, GfK Custom Research North America, Technometrics

Book Description

Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. This book provides a clear exposition of the underlying concepts with large numbers of worked examples and problem sets. The book also discusses numerical techniques for implementing the Bayesian calculations, including Markov Chain Monte-Carlo integration and linear and nonlinear least-squares analysis seen from a Bayesian pe rspective. Background material is provided in appendices and supporting Mathematica notebooks are available. Suitable for upper-undergraduates, graduate students, or any serious researcher in physical sciences or engineering.

Product details

  • Item Weight : 2.34 pounds
  • Hardcover : 488 pages
  • ISBN-10 : 052184150X
  • ISBN-13 : 978-0521841504
  • Product Dimensions : 7.01 x 1.06 x 10 inches
  • Publisher : Cambridge University Press; Illustrated Edition (May 23, 2005)
  • Language: : English
  • Customer Reviews:
    4.2 out of 5 stars 9 ratings

Customer reviews

4.2 out of 5 stars
4.2 out of 5
9 global ratings
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