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Cover: 9789814447959 | BAYESIAN REASONING IN DATA ANALYSIS | Giulio D'Agostini | Taschenbuch
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BAYESIAN REASONING IN DATA ANALYSIS
Taschenbuch von Giulio D'Agostini
Sprache: Englisch

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Beschreibung
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.
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.
Details
Medium: Taschenbuch
ISBN-13: 9789814447959
ISBN-10: 9814447951
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Giulio D'Agostini
Hersteller: World Scientific
Maße: 229 x 152 x 19 mm
Von/Mit: Giulio D'Agostini
Erscheinungsdatum: 16.06.2003
Gewicht: 0,508 kg
Artikel-ID: 106100744
Details
Medium: Taschenbuch
ISBN-13: 9789814447959
ISBN-10: 9814447951
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Giulio D'Agostini
Hersteller: World Scientific
Maße: 229 x 152 x 19 mm
Von/Mit: Giulio D'Agostini
Erscheinungsdatum: 16.06.2003
Gewicht: 0,508 kg
Artikel-ID: 106100744
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