Chapter 4 – Regression
暂无分享,去创建一个
[1] B. Kowalski,et al. Partial least-squares regression: a tutorial , 1986 .
[2] I. Jolliffe. A Note on the Use of Principal Components in Regression , 1982 .
[3] R. Leardi,et al. Sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions , 2004 .
[4] S. Wold,et al. The multivariate calibration problem in chemistry solved by the PLS method , 1983 .
[5] H. Lohninger,et al. Validation of chemometric models for the determination of deoxynivalenol on maize by mid-infrared spectroscopy , 2008, Mycotoxin Research.
[6] S. Engelsen,et al. Interval Partial Least-Squares Regression (iPLS): A Comparative Chemometric Study with an Example from Near-Infrared Spectroscopy , 2000 .
[7] S. Wold. Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .
[8] Wojtek J. Krzanowski,et al. Principles of multivariate analysis : a user's perspective. oxford , 1988 .
[9] S. Wold,et al. PLS: Partial Least Squares Projections to Latent Structures , 1993 .
[10] F. Galton. Kinship and Correlation , 1989 .
[11] H. Hotelling. The Generalization of Student’s Ratio , 1931 .
[12] Bruce R. Kowalski,et al. Propagation of measurement errors for the validation of predictions obtained by principal component regression and partial least squares , 1997 .
[13] Riccardo Leardi,et al. Genetic algorithm-PLS as a tool for wavelength selection in spectral data sets , 2003 .
[14] R. Bro. PARAFAC. Tutorial and applications , 1997 .
[15] Henk A. L. Kiers,et al. Principal covariates regression: Part I. Theory , 1992 .
[16] Bruce R. Kowalski,et al. Qualitative Information from Multivariate Calibration Models , 1990 .
[17] D. Massart,et al. The Mahalanobis distance , 2000 .
[18] B. Efron. Bootstrap Methods: Another Look at the Jackknife , 1979 .
[19] Ronald R. Coifman,et al. Partial least squares, Beer's law and the net analyte signal: statistical modeling and analysis , 2005 .
[20] Rasmus Bro,et al. Some common misunderstandings in chemometrics , 2010 .
[21] Gene H. Golub,et al. An analysis of the total least squares problem , 1980, Milestones in Matrix Computation.
[22] R. Penrose. A Generalized inverse for matrices , 1955 .
[23] J. E. Jackson. A User's Guide to Principal Components , 1991 .
[24] Rasmus Bro,et al. Variable selection in regression—a tutorial , 2010 .
[25] I. Jolliffe. Principal Component Analysis , 2002 .
[26] Paul Geladi,et al. Principles of Proper Validation: use and abuse of re‐sampling for validation , 2010 .
[27] Rasmus Bro,et al. Finding relevant spectral regions between spectroscopic techniques by use of cross model validation and partial least squares regression. , 2007, Analytica chimica acta.
[28] O. Kvalheim,et al. Biomarker discovery in mass spectral profiles by means of selectivity ratio plot , 2009 .
[29] N. M. Faber,et al. Uncertainty estimation and figures of merit for multivariate calibration (IUPAC Technical Report) , 2006 .
[30] H. Martens,et al. Light scattering and light absorbance separated by extended multiplicative signal correction. application to near-infrared transmission analysis of powder mixtures. , 2003, Analytical chemistry.
[31] B. Efron. The jackknife, the bootstrap, and other resampling plans , 1987 .
[32] N. M. Faber,et al. Sample-specific standard error of prediction for partial least squares regression , 2003 .
[33] K. F. Gauss,et al. Theoria combinationis observationum erroribus minimis obnoxiae , 1823 .
[34] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[35] Harald Martens,et al. Reducing over-optimism in variable selection by cross-model validation , 2006 .
[36] R. Tauler. Multivariate curve resolution applied to second order data , 1995 .
[37] Jian-hui Jiang,et al. On estimating model complexity and prediction errors in multivariate calibration: generalized resampling by random sample weighting (RSW) , 2011 .
[38] N. Draper,et al. Applied Regression Analysis , 1966 .
[39] E. Oja,et al. Independent Component Analysis , 2013 .
[40] P. Rousseeuw,et al. Unmasking Multivariate Outliers and Leverage Points , 1990 .
[41] John C. Gower,et al. A general theory of biplots , 1995 .
[42] G. Udny Yule,et al. On the Interpretation of Correlations between Indices or Ratios , 1910 .
[43] R. L. Mason,et al. Selecting principal components in regression , 1985 .
[44] R Bro,et al. Cross-validation of component models: A critical look at current methods , 2008, Analytical and bioanalytical chemistry.