Authors:Łukasz Komsta, Patrycja Smardz, Rafał Pietraś, Robert Skibiński and Anna Gumieniczek
The retention (RM) values of nine one-point adsorption model compounds: diphenylamine, indol, 2-naphtol, 1-naphtol, 1-naphtylamine, 4-toluidine, carbazole, 4-chloraniline, and thymol were investigated on silica gel using six modifiers: acetone, dioxane, hexane, isopropanol, methylethylketone, ethyl acetate, and tetrahydrofurane (in hexane). These compounds showed small but visible curvilinearity of dependence of RMvs. modifier concentration. This curvilinearity is very similar among the investigated compounds, so relative differences of extrapolated RM are almost the same (strictly intercorrelated) regardless of the regression technique used. We have compared several robust and weighted regression methods and investigated their impact on extrapolated values. It can be concluded that one should primarily consider weighted regression with 1/x weights during retention extrapolation. It seems to be a better alternative than classical regression (better extrapolation) and also better than polynomial approaches (better stability).
Authors:Mohamed Ali Gorsane, Michel Reynaud, Jean-Luc Vénisse, Cindy Legauffre, Marc Valleur, David Magalon, Mélina Fatséas, Isabelle Chéreau-Boudet, Alice Guilleux, JEU Group, Gaëlle Challet-Bouju and Marie Grall-Bronnec
(psychiatric comorbidities and personality profile), and gambling characteristics was performed first. To examine the contribution of all the variables for predicting the presence of GDRIA (DSM8− vs. DMS8+), we performed a two-step multiple logistic regression
Authors:Mihaela-Ligia Ungureşan, Andrada Măicăneanu, Francisc-Vasile Dulf, Eva-Henrietta Dulf and Delia Maria Gligor
, modifications to a number of similar phenomena such as ion exclusion and ligand exchange [ 9 ].
Linear regression analysis has been the most commonly used technique to evaluate the fit of experimental data and isotherm models for ion exchange on natural
Authors:Gábor Szatmári, Annamária Laborczi, Gábor Illés and László Pásztor
, A. B. & Chittleborough , D. J., 1995. Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-kriging. Geoderma. 67 . 215–226.
Chittleborough D J
Authors:L.T. Waser, S. Stofer, M. Schwartz, M. Küchler, E. Ivits and C. Scheidegger
Lehmann, A., J. M. Overton and M. P. Austin. 2002. Regression models for spatial prediction: their role for biodiversity and conservation. Biodiversity and Conservation 11: 2085-2092.
Regression models for spatial prediction
Authors:F. Becker, J. Kurth, F. Schneider, G. Nürnberg, H. Heinrich and W. Kanitz
Knight, P. G. (1993): Relationship between the levels of atresia and inhibin contents in morphologically dominant follicles during their growth and regression phases of development in cattle. Biol. Reprod. 48 , 268