Performances of several methods currently used for detection of discordant observations are reviewed in terms of a data set pertaining to absolute measurements of gravity acceleration, showing some peculiar features. Along with currently used methods a criterion based upon distribution of extremes is also relied upon to provide references; a modification of a simple, broadly used method is mentioned, improving performances while retaining inherent ease of use. Identification of distributions underlying experimental data may entail a substantial uncertainty component, particularly when sample size is small, and no mechanistic models are available. A pragmatic approach is described, providing to a first approximation estimation of overall uncertainty, inclusive of components pertaining to both estimation of parameters, and identification of distribution shape.

Treatment of experimental data with discordant observations: issues in empirical identification of distribution / Barbato, G.; Genta, G.; Germak, A.; Levi, R.; Vicario, Grazia. - In: MEASUREMENT SCIENCE REVIEW. - ISSN 1335-8871. - 12:4(2012), pp. 133-140.

Treatment of experimental data with discordant observations: issues in empirical identification of distribution

Germak A.;VICARIO, GRAZIA
2012

Abstract

Performances of several methods currently used for detection of discordant observations are reviewed in terms of a data set pertaining to absolute measurements of gravity acceleration, showing some peculiar features. Along with currently used methods a criterion based upon distribution of extremes is also relied upon to provide references; a modification of a simple, broadly used method is mentioned, improving performances while retaining inherent ease of use. Identification of distributions underlying experimental data may entail a substantial uncertainty component, particularly when sample size is small, and no mechanistic models are available. A pragmatic approach is described, providing to a first approximation estimation of overall uncertainty, inclusive of components pertaining to both estimation of parameters, and identification of distribution shape.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2497347
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