<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Performances of several methods currently used for detection of discordant observations are reviewed, considering a set of absolute measurements of gravity acceleration exhibiting 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 estimation to a first approximation of overall uncertainty, covering both estimation of parameters, and identification of distribution shape.</p></abstract>

Performances of several methods currently used for detection of discordant observations are reviewed, considering a set of absolute measurements of gravity acceleration exhibiting 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 estimation to a first approximation of overall uncertainty, covering both estimation of parameters, and identification of distribution shape.

Treatment of Experimental Data with Discordant Observations: Issues in Empirical Identification of Distribution

DIGEP, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy

Istituto Nazionale di Ricerca Metrologica (INRIM), Strada delle Cacce 91, 10135 Torino, Italy

DISMA, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy

Measurement Science Review

Performances of several methods currently used for detection of discordant observations are reviewed, considering a set of absolute measurements of gravity...

Treatment of Experimental Data with Discordant Observations: Issues in Empirical Identification of Distribution

Published Online: Aug 13, 2012

Page range: 133 - 140

DOI: https://doi.org/10.2478/v10048-012-0020-y

Keywords
Distribution shape, outlier, uncertainty, confidence region, gravimetry

This content is open access.

Treatment of Experimental Data with Discordant Observations: Issues in Empirical Identification of Distribution

Published Online: Aug 13, 2012

Page range: 133 - 140

DOI: https://doi.org/10.2478/v10048-012-0020-y

KeywordsDistribution shape, outlier, uncertainty, confidence region, gravimetry

This content is open access.

Keywords
Distribution shape, outlier, uncertainty, confidence region, gravimetry