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A method for detecting potentially unreliable estimates when using the Burdick/Rayens model for estimating linear mixing proportions
Author(s) -
Rayens William S.
Publication year - 1988
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1180020205
Subject(s) - mixing (physics) , linear discriminant analysis , residual , context (archaeology) , linear model , statistics , computer science , mathematics , biological system , algorithm , geography , physics , archaeology , quantum mechanics , biology
In an earlier paper by Burdick and Rayens a model was developed which uses discriminant analysis to construct estimates of linear mixing proportions. In this paper a method is proposed for identifying potentially unreliable estimates when using the Burdick/Rayens model. It is also shown to be useful in detecting irregularities in the sample data. The methodology is based on the lengths of residual vectors and is demonstrated within the context of polychlorinated biphenyl mixtures.