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| Titel |
Methods for estimating uncertainty in factor analytic solutions |
| VerfasserIn |
P. Paatero, S. Eberly, S. G. Brown, G. A. Norris |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 7, no. 3 ; Nr. 7, no. 3 (2014-03-27), S.781-797 |
| Datensatznummer |
250115648
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| Publikation (Nr.) |
 copernicus.org/amt-7-781-2014.pdf |
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| Zusammenfassung |
| The EPA PMF (Environmental Protection Agency positive matrix
factorization)
version 5.0 and the underlying multilinear engine-executable ME-2 contain
three methods for estimating uncertainty in factor analytic models: classical
bootstrap (BS), displacement of factor elements (DISP), and bootstrap
enhanced by displacement of factor elements (BS-DISP). The goal of these
methods is to capture the uncertainty of PMF analyses due to random errors
and rotational ambiguity. It is shown that the three methods complement each
other: depending on characteristics of the data set, one method may provide
better results than the other two. Results are presented using synthetic data
sets, including interpretation of diagnostics, and recommendations are given
for parameters to report when documenting uncertainty estimates from EPA PMF
or ME-2 applications. |
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