Data Analysis a Bayesian Tutorial Second Edition

von Devinderjit Sivia, John Skilling, D. S. Sivia

260 Seiten, Hardcover

Kurzbeschreibung des Verlags

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'.

• Themen: Mathematik und Naturwissenschaften Mathematik Wahrscheinlichkeitsrechnung und Statistik Bayesianische Inferenz
• ISBN: 9780198568315
• Sprache: Englisch
• Erscheinungsdatum: 01.06.2006
• Größe: 240 x 161 mm
• Verlag: OUP Oxford