Zine, Mounia, Environmental and Food Safety Laboratory, Badji Mokhtar-Annaba University, BP. 12, 23000 Annaba, Algeria

• Journal of the Serbian Chemical Society Vol. 84 No. 12 (2019) - Theoretical Chemistry
  Quantitative structure–property relationship studies for the prediction of the vapor pressure of volatile organic compounds
  Abstract  PDF (715 kB)  Supplementary Material (759 kB)  The data set and the corresponding Experimental and predicted values of log p/kpa for the training and validation sets  cover letter  Williams plot: jackknifed residuals and leverages.  Randomization test associated to previous QSPR model  Cross-validation versus experimental log (pv/Pa) for the entire data set  Relative contributions of the selected descriptors to the MLR model  Suppl Mat  Williams plot: jackknifed residuals and leverages.  Randomization test associated to previous QSPR model  Cross-validation versus experimental log (pv/Pa) for the entire data set  Relative contributions of the selected descriptors to the MLR model  THE PREDICTIVE QSPR MODEL  Quantitative structure-property relationship studies for prediction vapor pressure of Volatile Organic Compounds  CORRECTED VERSION OF THE MANUSCRIPT  CORRECTED VERSION OF Supplimentary Material  CORRECTED Fig.1. Williams plot jackknifed residuals and leverages  CORRECTED Fig.2. Randomization test associated to previous QSPR model  CORRECTED Fig.3. Plot of residual vs. experimental log (Vppa) for the entire data set  Suppl Mat  Suppl Mat