Bayesian reasoning in data analysis: a critical introduction

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...

Full description

Saved in:
Bibliographic Details
Main Author: D'Agostini, G. (Author)
Format: Electronic eBook
Language:English
Published: Singapore World Scientific Pub. Co. c2003
Subjects:
Online Access:FHN01
Volltext
Summary: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
Physical Description:xix, 329 p. ill
ISBN:9789812775511

There is no print copy available.

Interlibrary loan Place Request Caution: Not in THWS collection! Get full text