Locally weighted regression and scatter correction for near-infrared reflectance data
暂无分享,去创建一个
[1] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[2] Tormod Næs,et al. Multivariate Calibration When the Error Covariance Matrix Is Structured , 1985 .
[3] T. Næs,et al. The Effect of Multiplicative Scatter Correction (MSC) and Linearity Improvement in NIR Spectroscopy , 1988 .
[4] P. Geladi,et al. Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat , 1985 .
[5] Richard I. Shrager,et al. Titration of individual components in a mixture with resolution of difference spectra, pKs, and redox transitions , 1982 .
[6] E. A. Sylvestre,et al. Self Modeling Curve Resolution , 1971 .
[7] Bruce R. Kowalski,et al. Multicomponent quantitative analysis using second-order nonbilinear data: theory and simulations , 1989 .
[8] J. Friedman,et al. Projection Pursuit Regression , 1981 .
[9] R. Snee. Cooperation between University and Industry Statisticians , 1984 .
[10] C. L. Mallows. Some comments on C_p , 1973 .
[11] J. Friedman,et al. Estimating Optimal Transformations for Multiple Regression and Correlation. , 1985 .
[12] Arthur E. Hoerl,et al. Practical Use of Ridge Regression: A Challenge Met , 1985 .
[13] S. Wold. Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .
[14] S Kawata,et al. Estimation of component spectral curves from unknown mixture spectra. , 1984, Applied optics.
[15] T. Næs,et al. Principal component regression in NIR analysis: Viewpoints, background details and selection of components , 1988 .
[16] Bruce R. Kowalski,et al. An extension of the multivariate component-resolution method to three components , 1985 .
[17] W. Cleveland,et al. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting , 1988 .
[18] N. Ohta,et al. Estimating absorption bands of component dyes by means of principal component analysis , 1973 .
[19] D. Bertrand,et al. A New Mathematical Procedure for NIR Analysis: The Lattice Technique. Application to the Prediction of Sugar Content of Apples , 1989 .
[20] James W. McNicol,et al. The Use of Principal Components in the Analysis of Near-Infrared Spectra , 1985 .
[21] J. Futrell,et al. Separation of mass spectra of mixtures by factor analysis , 1979 .
[22] G. Kateman,et al. Multicomponent self-modelling curve resolution in high-performance liquid chromatography by iterative target transformation analysis , 1985 .
[23] Isiah M. Warner,et al. Design considerations for a two-dimensional rapid scanning fluorimeter , 1979 .
[24] W. F. McClure,et al. Fourier Analysis Enhances NIR Diffuse Reflectance Spectroscopy , 1984 .
[25] Paul J. Gemperline,et al. Target transformation factor analysis with linear inequality constraints applied to spectroscopic-chromatographic data , 1986 .
[26] A. Meister. Estimation of component spectra by the principal components method , 1984 .
[27] Edmund R. Malinowski,et al. Obtaining the key set of typical vectors by factor analysis and subsequent isolation of component spectra , 1982 .
[28] Odd S. Borgen,et al. The multivariate N-Component resolution problem with minimum assumptions , 1986 .