Prediction of octane numbers for commercial gasoline using distillation curves: a comparative regression analysis between principal component and partial least …
HM Issa - Petroleum Science and Technology, 2024 - Taylor & Francis
In this study, it was found that limiting the number of explanatory distillation curves input
variables in a multivariate regression method to the most significant ones (10%, 50%, 90 …
variables in a multivariate regression method to the most significant ones (10%, 50%, 90 …
[引用][C] Prediction of octane numbers for commercial gasoline using distillation curves: a comparative regression analysis between principal component and partial …
HM Issa - Petroleum Science and Technology, 2024 - ui.adsabs.harvard.edu
Prediction of octane numbers for commercial gasoline using distillation curves: a comparative
regression analysis between principal component and partial least squares methods …
regression analysis between principal component and partial least squares methods …
Prediction of octane numbers for commercial gasoline using distillation curves: a comparative regression analysis between principal component and partial least …
HM Issa - Petroleum Science and Technology, 2024 - ingentaconnect.com
In this study, it was found that limiting the number of explanatory distillation curves input
variables in a multivariate regression method to the most significant ones (10%, 50%, 90 …
variables in a multivariate regression method to the most significant ones (10%, 50%, 90 …