Bayesian Reasoning in Data Analysis
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Book Overview This book provides a multi-level introduction to Bayesian reasoning (as opposed to "conventional statistics") and its applications to dat...
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.
Book Details Format: Paperback | Pages: 352 | Language: English | Publisher: WORLD SCIENTIFIC PUB CO INC | ISBN: 9814447951
FormatPaperback
Pages352
LanguageEnglish
ISBN9814447951
EAN9789814447959
PublisherWORLD SCIENTIFIC PUB CO INC
Publication Date1970-01-01
EditionIllustrated
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight1.15 Pounds
Length8.9 Inches
Width6.0 Inches
Height0.8 Inches
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