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Data Analysis

- A Bayesian Tutorial
Af: Devinderjit Sivia, John Skilling Engelsk Paperback

Data Analysis

- A Bayesian Tutorial
Af: Devinderjit Sivia, John Skilling Engelsk Paperback
Tjek vores konkurrenters priser
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''.
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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''.
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Produktdetaljer
Sprog: Engelsk
Sider: 264
ISBN-13: 9780198568322
Indbinding: Paperback
Udgave:
ISBN-10: 0198568320
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 1 jun 2006
Længde: 16mm
Bredde: 157mm
Højde: 232mm
Forlag: Oxford University Press
Oplagsdato: 1 jun 2006
Forfatter(e): Devinderjit Sivia, John Skilling
Forfatter(e) Devinderjit Sivia, John Skilling

Kategori Sandsynlighedsregning og statistik

ISBN-13 9780198568322

Sprog Engelsk

Indbinding Paperback

Sider 264

Udgave

Længde 16mm

Bredde 157mm

Højde 232mm

Udg. Dato 1 jun 2006

Oplagsdato 1 jun 2006

Forlag Oxford University Press