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Title: Method of Best Representation for Averages in Data Evaluation

A new method for averaging data for which incomplete information is available is presented. For example, this method would be applicable during data evaluation where only the final outcomes of the experiments and the associated uncertainties are known. This method is based on using the measurements to construct a mean probability density for the data set. This “expected value method” (EVM) is designed to treat asymmetric uncertainties and has distinct advantages over other methods of averaging, including giving a more realistic uncertainty, being robust to outliers and consistent under various representations of the same quantity.
Authors:
;
Publication Date:
OSTI Identifier:
22436696
Resource Type:
Journal Article
Resource Relation:
Journal Name: Nuclear Data Sheets; Journal Volume: 120; Other Information: Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; ASYMMETRY; DATA; DATA COVARIANCES; EVALUATION; NUCLEAR DATA COLLECTIONS; PROBABILITY