bokomslag Data Analysis: A Bayesian Tutorial
Vetenskap & teknik

Data Analysis: A Bayesian Tutorial

Devinderjit Sivia John Skilling

Häftad

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  • 246 sidor
  • 2006

Andra format:

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'.
  • Författare: Devinderjit Sivia, John Skilling
  • Format: Häftad
  • Upplaga: 2
  • ISBN: 9780198568322
  • Språk: Engelska
  • Antal sidor: 246
  • Utgivningsdatum: 2006-06-01
  • Förlag: Oxford University Press