Uncertainties due to Imperfect Knowledge of Systematic Effects: General Considerations and Approximate Formulae

Starting from considerations about meaning and subsequent use of asymmetricuncertainty intervals of experimental results, we review the issue ofuncertainty propagation. We show that, using a probabilistic approach (theso-called Bayesian approach), all sources of uncertainty can be included in alogic...

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Detalles Bibliográficos
Autores principales: D'Agostini, G., Raso, M.
Lenguaje:eng
Publicado: 2000
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/427962
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author D'Agostini, G.
Raso, M.
author_facet D'Agostini, G.
Raso, M.
author_sort D'Agostini, G.
collection CERN
description Starting from considerations about meaning and subsequent use of asymmetricuncertainty intervals of experimental results, we review the issue ofuncertainty propagation. We show that, using a probabilistic approach (theso-called Bayesian approach), all sources of uncertainty can be included in alogically consistent way. Practical formulae for the first moments of theprobability distribution are derived up to second-order approximations.
id cern-427962
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2000
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spelling cern-4279622023-03-14T18:02:41Zhttp://cds.cern.ch/record/427962engD'Agostini, G.Raso, M.Uncertainties due to Imperfect Knowledge of Systematic Effects: General Considerations and Approximate FormulaeDetectors and Experimental TechniquesStarting from considerations about meaning and subsequent use of asymmetricuncertainty intervals of experimental results, we review the issue ofuncertainty propagation. We show that, using a probabilistic approach (theso-called Bayesian approach), all sources of uncertainty can be included in alogically consistent way. Practical formulae for the first moments of theprobability distribution are derived up to second-order approximations.Starting from considerations about meaning and subsequent use of asymmetric uncertainty intervals of experimental results, we review the issue of uncertainty propagation. We show that, using a probabilistic approach (the so-called Bayesian approach), all sources of uncertainty can be included in a logically consistent way. Practical formulae for the first moments of the probability distribution are derived up to second-order approximations.hep-ex/0002056CERN-EP-2000-026CERN-EP-2000-026oai:cds.cern.ch:4279622000-02-22
spellingShingle Detectors and Experimental Techniques
D'Agostini, G.
Raso, M.
Uncertainties due to Imperfect Knowledge of Systematic Effects: General Considerations and Approximate Formulae
title Uncertainties due to Imperfect Knowledge of Systematic Effects: General Considerations and Approximate Formulae
title_full Uncertainties due to Imperfect Knowledge of Systematic Effects: General Considerations and Approximate Formulae
title_fullStr Uncertainties due to Imperfect Knowledge of Systematic Effects: General Considerations and Approximate Formulae
title_full_unstemmed Uncertainties due to Imperfect Knowledge of Systematic Effects: General Considerations and Approximate Formulae
title_short Uncertainties due to Imperfect Knowledge of Systematic Effects: General Considerations and Approximate Formulae
title_sort uncertainties due to imperfect knowledge of systematic effects: general considerations and approximate formulae
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/427962
work_keys_str_mv AT dagostinig uncertaintiesduetoimperfectknowledgeofsystematiceffectsgeneralconsiderationsandapproximateformulae
AT rasom uncertaintiesduetoimperfectknowledgeofsystematiceffectsgeneralconsiderationsandapproximateformulae

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