1991
DOI: 10.1007/bf01055903
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Chemometric comparison of polychlorinated biphenyl residues and toxicologically active polychlorinated biphenyl congeners in the eggs of Forster's Terns (Sterna fosteri)

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Cited by 85 publications
(47 citation statements)
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“…Following the recommendations of Schwartz & Stalling (1991), the data were further transformed using log,(x+ l ) to reduce the influence of closure. Finally, each variable was scaled so as to have a mean of 0 and a variance of 1.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Following the recommendations of Schwartz & Stalling (1991), the data were further transformed using log,(x+ l ) to reduce the influence of closure. Finally, each variable was scaled so as to have a mean of 0 and a variance of 1.…”
Section: Methodsmentioning
confidence: 99%
“…To simplify the final interpretation, the varimax rotation was used and only those principal components with eigenvalues greater than 1.0 were extracted. This technique is suited to chemometric comparisons and is described by Schwartz & Stalling (1991) and Storr-Hansen & Spliid (1993).…”
Section: Methodsmentioning
confidence: 99%
“…The application of chemometrics to identify and distinguish chemical``fingerprint'' patterns has been an important tool to describe the similarities and differences among environmental samples. It provides a classification method for ascertaining the identity of samples and determining the most significant chemical constituents or physical attributes among different samples (Dunn et al, 1984;Stalling et al, 1985;Schwartz and Stalling, 1991;Wenning et al, 1993 ).…”
Section: Introductionmentioning
confidence: 99%
“…As many as nine concentrations of standards, ranging from 0.03-30 ng/mL (PCB congeners), 0.1-80 ng/mL (OCPs), and 2-200 ng/mL (PBDE congeners), were used for component identification and internal standard calibration. Potential analyte peaks were identified on one column and confirmed on the second column wherever possible (Schwartz and Stalling, 1991).…”
Section: Aliphatic Hydrocarbons Polycyclic Aromatic Hydrocarbons Anmentioning
confidence: 99%
“…Principal Components are bilinear projection models constructed by decomposing a class data matrix into score, loading, and residuals matrices (Schwartz and Stalling, 1991). The objective was to build models for each class of contaminant, projecting the n-dimensional pattern or profile of the contaminant dataset onto two or three dimensions for interpretation of the relations between samples.…”
Section: Principal Components Analysismentioning
confidence: 99%