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
This content is open access.
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.