Partial least squares with outlier detection in spectral analysis: A tool to predict gasoline properties
暂无分享,去创建一个
[1] Mia Hubert,et al. Robustness properties of a robust partial least squares regression method , 2004 .
[2] T. Fearn,et al. Near infrared spectroscopy in food analysis , 1986 .
[3] Erik Johansson,et al. Time-resolved QSAR: an approach to PLS modelling of three-way biological data , 2004 .
[4] Peter J. Rousseeuw,et al. Robust regression and outlier detection , 1987 .
[5] Roman M. Balabin,et al. Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction , 2007 .
[6] A. Savitzky,et al. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .
[7] Werner A. Stahel,et al. Robust Statistics: The Approach Based on Influence Functions , 1987 .
[8] R. Barnes,et al. Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra , 1989 .
[9] R. E. Aries,et al. Determination of gas oil cetane number and cetane index using near-infrared Fourier-transform Raman spectroscopy , 1990 .
[10] Roman M. Balabin,et al. Gasoline classification by source and type based on near infrared (NIR) spectroscopy data , 2008 .
[11] Emilio Marengo,et al. Modeling of the polluting emissions from a cement production plant by partial least-squares, principal component regression, and artificial neural networks. , 2006, Environmental science & technology.
[12] Hoeil Chung,et al. Compositional Analysis of Naphtha by FT-Raman Spectroscopy , 1999 .
[13] Peter Filzmoser,et al. Partial robust M-regression , 2005 .
[14] J. Callis,et al. Prediction of gasoline octane numbers from near-infrared spectral features in the range 660-1215 nm , 1989 .
[15] Roman M. Balabin,et al. Wavelet neural network (WNN) approach for calibration model building based on gasoline near infrared (NIR) spectra , 2008 .
[16] James Cheney,et al. The chemometric analysis of point and dynamic data in pharmaceutical and biotech production (PAT) — some objectives and approaches , 2006 .