Prediction of physical properties of hydrocarbon mixtures by partial-least-squares calibration of carbon-13 nuclear magnetic resonance data
- 31 December 1989
- journal article
- Published by Elsevier in Analytica Chimica Acta
- Vol. 223, 123-134
- https://doi.org/10.1016/s0003-2670(00)84078-7
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Multivariate calibration of diffuse reflectance infrared spectra of coals as an alternative to rank determination by vitrinite reflectanceChemometrics and Intelligent Laboratory Systems, 1987
- Analysis of two partial-least-squares algorithms for multivariate calibrationChemometrics and Intelligent Laboratory Systems, 1987
- Ultra-high resolution NMRAnalytical Chemistry, 1987
- Determination of water content and calorific value of peat by near i.r. spectroscopyFuel, 1987
- Visualizing information in multivariate data: Applications to petroleum geochemistry : Part 2. Interpretation and correlation of north sea oils by using three different biomarker fractionsAnalytica Chimica Acta, 1986
- Visualizing information in multivariate data: Applications to petroleum geochemistry : Part 1. Projection methodsAnalytica Chimica Acta, 1986
- Crude oil characterization and correlation by principal component analysis of carbon-13 nuclear magnetic resonance spectraAnalytical Chemistry, 1985
- Near-Infrared Determination of Several Physical Properties of HydrocarbonsAnalytical Chemistry, 1985
- Near-Infrared Reflectance Analysis by Gauss-Jordan Linear AlgebraApplied Spectroscopy, 1983
- Carbon-13 nuclear magnetic resonance spectrometry. Chemical shifts for the paraffins through C9Analytical Chemistry, 1971