Model of Robust Regression with Least Absolute Deviation Regression and Ordinary Linear Programming Methods of gas chromatographic Retention indices of series compounds of pyrazines

Fatiha Mebarki; Khadidja Amirat; Salima Ali Mokhnache; Djelloul Messadi

Volume : V, Issue : I, January - 2016

Model of Robust Regression with Least Absolute Deviation Regression and Ordinary Linear Programming Methods of gas chromatographic Retention indices of series compounds of pyrazines

Fatiha Mebarki, Khadidja Amirat, Salima Ali Mokhnache, Djelloul Messadi

Abstract :

LAD regression diagnostics offers alternative dicapproaches whose main feature is the robustness. Here a nonparametric method for detecting influential observations is presented and compared with least squares regression method. Was applied to Model, separately, the retention indices of the same set of (89 pyrazines of test and 25 of validation) eluted in turn on OV– 101 and Carbowax–20M, using theoretical molecular descriptors derived from DRAGON Software.