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Robust estimation of chemical profiles of air‐borne particulate matter
Author(s) -
Wiens D,
Florence L. Z,
Hiltz M
Publication year - 2001
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/1099-095x(200102)12:1<25::aid-env435>3.0.co;2-e
Subject(s) - particulates , robustness (evolution) , environmental science , econometrics , variance (accounting) , air pollutants , statistics , computer science , air pollution , mathematics , chemistry , economics , biochemistry , accounting , organic chemistry , gene
We present a modification of the Chemical Mass Balance model commonly used for apportioning pollutants measured at a receptor site to particular sources, given profile data from these sources. The standard Effective Variance model is included as a special case. We present a package of estimation methods for these models; a ‘robustness option’ is highlighted. A simulation study is carried out to compare and contrast the various approaches. Copyright © 2001 John Wiley & Sons, Ltd.