Description: Bayesian Reasoning In Data Analysis: A Critical IntroductionAuthor(s): Giulio D'agostini Format: Paperback Publisher: World Scientific Publishing Co Pte Ltd, Singapore Imprint: World Scientific Publishing Co Pte Ltd ISBN-13: 9789814447959, 978-9814447959 Synopsis 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.
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Book Title: Bayesian Reasoning In Data Analysis: A Critical Introduction
Publisher: World Industries Scientific Publishing Co Pte LTD
Publication Year: 2003
Subject: Mathematics
Number of Pages: 352 Pages
Language: English
Publication Name: Bayesian Reasoning in Data Analysis: a Critical Introduction
Type: Textbook
Author: Giulio D'agostini
Format: Paperback
