Data Analysis: A Bayesian Tutorial

Devinderjit Sivia

ISBN 10: 0198568312 / ISBN 13: 9780198568315

Editore: Oxford University Press, 2006

This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Codice articolo C9780198568315

Riassunto:

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'.

Informazioni sull'autore: 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

Dati bibliografici

Titolo: Data Analysis: A Bayesian Tutorial
Casa editrice: Oxford University Press
Data di pubblicazione: 2006
Legatura: Hardback
Condizione: New
Edizione: seconda edizione