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Optical Engineering

Use Of Simulation Data Sets For Assessing Interlaboratory Pattern Recognition Accuracy
Author(s): L. A. Currie
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Paper Abstract

Interlaboratory comparisons using common (reference) materials of known composition are an established means for assessing overall measurement precision and accuracy. Intercomparisons based on common data sets are equally important and revealing when one is dealing with complex chemical patterns or spectra requiring significant numerical modeling and manipulation for component identification and quantification. Two case studies of "chemo-metric intercomparison" using simulation test data (STD) are presented, one comprising STD vectors as applied to nuclear spectrometry and the other STD data matrices as applied to aerosol source apportionment. Generic information gained from these two exercises included (a) the requisites for a successful STD intercomparison (including the nature and preparation of the simulation test patterns); (b) surprising degrees of bias and imprecision associated with the data evaluation process per se; (c) the need for increased attention to implicit assumptions and adequate statements of uncertainty; and (d) the importance of STD beyond the intercomparison, i.e., their value as a research tool for improv-ing the state of the pattern recognition art.

Paper Details

Date Published: 1 December 1985
PDF: 5 pages
Opt. Eng. 24(6) 241004 doi: 10.1117/12.7973617
Published in: Optical Engineering Volume 24, Issue 6
Show Author Affiliations
L. A. Currie, National Bureau of Standards (United States)

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