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RECORD NUMBER: 15 OF 114

OLS Field Name OLS Field Data
Main Title Determination of Polychlorinated Biphenyls Using Multiple Regression with Outlier Detection and Elimination.
Author Burkhard, L. P. ; Wininger., D. ;
CORP Author Wisconsin Univ.-Superior. Center for Lake Superior Environmental Studies. ;Pomona Coll., Claremont, CA.;Environmental Research Lab.-Duluth, MN.
Publisher c1987
Year Published 1987
Report Number EPA-R-812079; EPA/600/J-87/506;
Stock Number PB90-142902
Additional Subjects Chemical analysis ; Regression analysis ; Chromatographic analysis ; Algorithms ; Sample preparation ; Pesticides ; Qualitative analysis ; Quantitative analysis ; Polychlorinated biphenyls ; Water pollution detection ; Water pollution effects(Animals) ; COMSTAR algorithm ; Biological accumulation ; Aroclor 1242 ; Aroclor 1248 ; Aroclor 1254 ; Aroclor 1260
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB90-142902 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/15/1990
Collation 7p
Abstract
A method for the analysis of capillary column polychlorinated biphenyl (PCB) data using regression analysis with outlier checking and elimination, COMSTAR, is presented and evaluated. The algorithm determines the best combination of the commercial PCB mixtures which best fits the chromatographic fingerprint of the sample by excluding weathered and contaminated PCB components from its final determination. Subsequently, significance testing on the final determination is performed. The extra sum of squares test is used for outlier testing. The chief advantage of COMSTAR over other PCB analysis methods is its ability to discern more accurately the amount of PCB present in a sample when weathered and contaminated or enriched PCB components exist in the chromatographic data. (Copyright (c) 1987 American Chemical Society.)