Comparing the predictions by NIR spectroscopy based multivariate models for distillation fractions of crude oils by F-test

Multivariate Calibration of Sulfur in Sour Crude Oils via Near-Infrared Spectra

(2021) Slobodan Šašić et al.   ENERGY & FUELS

A review of chemometrics models to predict crude oil properties from nuclear magnetic resonance and infrared spectroscopy

(2021) Mariana K. Moro et al.   FUEL

Multivariate Calibration of Total Acid Number in Crude Oils via Near-Infrared Spectra

(2020) Slobodan Šašić et al.   ENERGY & FUELS

Fast Quantitative and Qualitative Monitoring of Mafurra Biodiesel Content Using Fourier Transform Mid-Infrared Spectroscopy, Chemometric Tools, and Variable Selection

(2016) Ademar D. V. Máquina et al.   ENERGY & FUELS

Research on Determination of Total Acid Number of Petroleum Using Mid-infrared Attenuated Total Reflection Spectroscopy

(2012) Li Jingyan et al.   ENERGY & FUELS

PLS regression on spectroscopic data for the prediction of crude oil quality: API gravity and aliphatic/aromatic ratio

(2012) Ouissam Abbas et al.   FUEL

Study of motor oil adulteration by infrared spectroscopy and chemometrics methods

(2012) M. Bassbasi et al.   FUEL

Gasoline classification using near infrared (NIR) spectroscopy data: Comparison of multivariate techniques

(2010) Roman M. Balabin et al.   ANALYTICA CHIMICA ACTA

Statistical Significance Testing as a Guide to Partial Least-Squares (PLS) Modeling of Nonideal Data Sets for Fuel Property Predictions

(2007) Kirsten E. Kramer et al.   ENERGY & FUELS