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Resolution statistical overlap models

The results of Tables I, II and III confirm the general applicability of the peak overlap model, developed from point statistics, to randomly generated chromatograms. Individual exceptions to the model will undoubtedly be found as experimental testing Is conducted, but, overall, we anticipate modestly good predictions of m from high resolution chromatographic separations when the components are distributed randomly-... [Pg.26]

Davis, J.M. (1997a). Justification of probability density function for resolution in statistical models of overlap. Chromatographia 44, 81. [Pg.56]

Test of the Statistical Model of Component Overlap by Computer-Generated Chromatograms, J. C. Giddings, J. M. Davis, and M. R. Schure, in S. Ahuja, Ed., Ultrahigh Resolution Chromatography, ACS Symposium Series No. 250, American Chemical Society, Washington, DC, 1984, pp. 9-26. [Pg.300]

An earlier statistical model of component overlap Is reviewed. It Is argued that a statistical treatment Is necessary to reasonably Interpret and optimize high resolution chromatograms having substantial overlap. [Pg.9]

See other pages where Resolution statistical overlap models is mentioned: [Pg.59]    [Pg.384]    [Pg.397]    [Pg.9]    [Pg.389]    [Pg.212]    [Pg.679]    [Pg.907]    [Pg.329]    [Pg.677]   
See also in sourсe #XX -- [ Pg.59 ]



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