You are here:
DETERMINATION OF POLYCHLORINATED BIPHENYLS USING MULTIPLE REGRESSION WITH OUTLIER DETECTION AND ELIMINATION
Citation:
Burkhard, L. AND D. Weininger. DETERMINATION OF POLYCHLORINATED BIPHENYLS USING MULTIPLE REGRESSION WITH OUTLIER DETECTION AND ELIMINATION. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/J-87/538 (NTIS PB91144725), 1987.
Description:
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. his 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. ubsequently, significance testing on the final determination is performed. he extra sum of squares test is used for outlier testing. he chief advantage of COMSTAR over other PCB analysis method 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.