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Statistical analysis single-descriptor models

Among the approaches proposed so far, we recall here single-parameter models [102-111, 115, 118-120, 122, 123, 125, 126, 129], and multi-parametric correlation equations (either based on the combination of two or more existing scales or on the use of specific parameters to account for distinct types of effects) [112, 113, 116, 117, 121, 124]. Additional popular models are the Abraham s scales of solute hydrogen-bond acidity and solute hydrogen-bond basicity [127, 128], and the Catalan et al. solvatochromic scales [130,132, 133]. Methods based on quantitative stmcture-property relationships (QSPR) with solvent descriptors derived from the molecular structure [131, 134], and on principal component analysis (PCA) [135, 136] have been also proposed. An exhaustive review concerning the quantification of the solvent polarity has been recently published [138-140], including a detailed list of solvent scales, interrelations between parameters and statistical approaches. [Pg.472]


See other pages where Statistical analysis single-descriptor models is mentioned: [Pg.113]    [Pg.168]    [Pg.169]    [Pg.129]    [Pg.372]    [Pg.55]    [Pg.136]    [Pg.44]    [Pg.270]   
See also in sourсe #XX -- [ Pg.16 , Pg.17 , Pg.18 ]




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