Download Chemometrics and Species Identification by Bernard G. M. Vandeginste (auth.) PDF

By Bernard G. M. Vandeginste (auth.)

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Koenig, J. L. : Anal. Chem. 55, 630 (1983) 102. Warner, I. , Callis, J. , Davidson, E. R. : Anal. Lett. 75) 103. Ho, C. , Christian, G. , Davidson, E. R. : Anal. Chem. 50, 1108 (1978) 104. Ho, C. , Christian, G. , Davidson, E. : ibid. 52, 1071 (1980) 105. , Malinowski, E. : J. Chromatogr. Sci. 21, 229 (1983) 106. Warner, I. , Christian, G. , Davidson, E. R. : Anal. Chem. 43, 564 (1977) 107. Hershberger, L. , Callis, J. , Christian, G. D. : ibid. 53, 971 (1981) 108. Appellof, C. J. and Davidson, E.

Such a transform can be represented as a rotation matrix, which rotates Vq into S or V, into C x, namely: the pure spectra are S = Rq • Vq the pure elution profiles are: C x = Rr • V r The key problem in factor analysis is to find a g o o d transformation matrix Rq or Rr. Two approaches have been successfully applied: Rq and R r are calculated by imposing constraints on the solutions S and C T. This method is called curve resolution factor analysis 88). The second a p p r o a c h is based on the fact that candidate pure spectra or pure elution profiles are available.

45 45 45 46 46 46 47 3. Sampling for Gross Description . . . . . . . . . . 1 R a n d o m Particulate Objects . . . . . . . . . . 2 I n t e r n a l l y C o r r e l a t e d Objects . . . . . . . . . . 49 49 52 4 Sampling for Detailed Description and Control 56 . . . . . . . 5 S a m p l i n g for Monitoring . . . . . . . . . . . . 60 6 O t h e r Objectives .

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