Kniha Data Analysis Devinderjit Sivia

Data Analysis

A Bayesian Tutorial

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 10-18 dnů
2 862
Statistics lectures have been a source of much bewilderment and frustration for generations of stude...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2006
Stránek
260
EAN
9780198568315
ISBN
0198568312
Enbook ID
04527882
Hmotnost
524
Rozměry
163 x 240 x 22

Kompletní popis

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 optimisation, 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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