Data analysis : a Bayesian tutorial / D.S. Sivia.

Format:

Book

Author/Creator:

Sivia, D. S.

Series:

Oxford science publications

Language:

English

Subjects (All):

Bayesian statistical decision theory.

Maximum entropy method.

Physical Description:

xi, 189 pages : illustrations ; 24 cm.

Place of Publication:

Oxford : Clarendon Press ; New York : Oxford University Press, 1996.

Summary:

This is the first book on the maximum entropy and Bayesian methods aimed at senior undergraduates in science and engineering. It takes the mystery out of statistics by showing how a few fundamental rules can be used to tackle a wide variety of problems in data analysis. 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. As a logical and unified approach to the subject of data analysis, with a self-contained tutorial approach, this work will be valued by instructors and students alike.

Notes:

Includes bibliographical references (pages [182]-184) and index.

ISBN:

0198517629

0198518897

OCLC:

34284609