Data Analysis: A Bayesian Tutorial

Sivia, Devinderjit; Skilling, John

ISBN 10: 0198568320 / ISBN 13: 9780198568322

Verlag: Oxford University Press, 2006

Beschreibung

Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLYNO ACCESS CODE, NO CD, Ships with Emailed Tracking. Bestandsnummer des Verkäufers SKU0500461

Bibliografische Details

Titel: Data Analysis: A Bayesian Tutorial

Verlag: Oxford University Press

Erscheinungsdatum: 2006

Einband: Paperback

Zustand: Good

Auflage: 2. Auflage

Über diesen Titel

Inhaltsangabe:

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'.

Über die Autorin bzw. den Autor:

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