Bayesian Reasoning in Data Analysis: A Critical Introduction (Hardcover) (ISBN-13: 9789812383563)

This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this "new" approach to the quantification of uncertainty are presented using examples from research and everyday life. Applications covered include: parametric inference; combination of results; treatment of uncertainty due to systematic errors and background; comparison of hypotheses; unfolding of experimental distributions; upper/lower bounds in frontier-type measurements. Approximate methods for routine use are derived and are shown often to coincide -- under well-defined assumptions -- with "standard" methods, which can therefore be seen as special cases of the more general Bayesian methods. In dealing with uncertainty in measurements, modern metrological ideas are utilized, including the ISO classification of uncertainty into type A and type B. These are shown to fit well into the Bayesian framework.

Author: Giulio D'Agostini
ISBN-10: 9812383565
ISBN-13: 9789812383563
Publisher: World Scientific Publishing Company
Language: English
Published: 06/16/2003
Pages: 352
Format: Hardcover
Weight: 1.39lbs
Size: 9.28h x 6.36w x 0.90d