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Bayesian Reasoning In Data Analysis: A Critical Introduction

Language EnglishEnglish
Book Hardback
Book Bayesian Reasoning In Data Analysis: A Critical Introduction Giulio D'Agostini
Libristo code: 05067506
Publishers World Scientific Publishing Co Pte Ltd, June 2003
A multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its a... Full description
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A multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to data analysis. The basic ideas of this 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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About the book

Full name Bayesian Reasoning In Data Analysis: A Critical Introduction
Author Giulio D'Agostini
Language English
Binding Book - Hardback
Date of issue 2003
Number of pages 352
EAN 9789812383563
ISBN 9812383565
Libristo code 05067506
Publishers World Scientific Publishing Co Pte Ltd
Weight 632
Dimensions 153 x 234 x 24

Categories

Mathematics & Science > Mathematics > Probability & statistics > Bayesian inference
Mathematics & Science > Science: general issues > Scientific standards, measurement etc
Mathematics & Science > Science: general issues > Maths for scientists
Technology, Engineering, Agriculture > Technology: general issues > Maths for engineers
Mathematics & Science > Physics
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