NIR Data Exploration and Regression by Chemometrics—A Primer
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[1] S. Engelsen,et al. Gum Arabic authentication and mixture quantification by near infrared spectroscopy , 2017 .
[2] S. Engelsen,et al. The spatial composition of porcine adipose tissue investigated by multivariate curve resolution of near infrared spectra: Relationships between fat, the degree of unsaturation and water* , 2017 .
[3] Søren Balling Engelsen,et al. Near Infrared Spectroscopy—A Unique Window of Opportunities , 2016 .
[4] Igor Khmelinskii,et al. Near and mid infrared spectroscopy and multivariate data analysis in studies of oxidation of edible oils. , 2015, Food chemistry.
[5] Ricard Boqué,et al. Data fusion methodologies for food and beverage authentication and quality assessment - a review. , 2015, Analytica chimica acta.
[6] Romà Tauler,et al. MCR-ALS GUI 2.0: New features and applications , 2015 .
[7] Guang-Bin Huang,et al. Trends in extreme learning machines: A review , 2015, Neural Networks.
[8] L. B. Larsen,et al. Quantification of individual fatty acids in bovine milk by infrared spectroscopy and chemometrics: understanding predictions of highly collinear reference variables. , 2014, Journal of dairy science.
[9] Romà Tauler,et al. Multivariate Curve Resolution (MCR). Solving the mixture analysis problem , 2014 .
[10] Åsmund Rinnan,et al. Recursive weighted partial least squares (rPLS): an efficient variable selection method using PLS , 2014 .
[11] Tahir Mehmood,et al. A review of variable selection methods in Partial Least Squares Regression , 2012 .
[12] Oxana Ye. Rodionova,et al. Process analytical technology: a critical view of the chemometricians , 2012 .
[13] Age K. Smilde,et al. ANOVA–principal component analysis and ANOVA–simultaneous component analysis: a comparison , 2011 .
[14] Tom Fearn,et al. Multivariate Curve Resolution , 2011 .
[15] Frans van den Berg,et al. Review of the most common pre-processing techniques for near-infrared spectra , 2009 .
[16] Ana P. Teixeira,et al. Advances in on-line monitoring and control of mammalian cell cultures: Supporting the PAT initiative. , 2009, Biotechnology advances.
[17] Age K. Smilde,et al. Multivariate paired data analysis: multilevel PLSDA versus OPLSDA , 2009, Metabolomics.
[18] C Vervaet,et al. In-line and real-time process monitoring of a freeze drying process using Raman and NIR spectroscopy as complementary process analytical technology (PAT) tools. , 2009, Journal of pharmaceutical sciences.
[19] Noel D.G. White,et al. Feasibility of near-infrared hyperspectral imaging to differentiate Canadian wheat classes , 2008 .
[20] Age K. Smilde,et al. UvA-DARE ( Digital Academic Repository ) Assessment of PLSDA cross validation , 2008 .
[21] Rasmus Bro,et al. Vibrational overtone combination spectroscopy (VOCSY)—a new way of using IR and NIR data , 2007, Analytical and bioanalytical chemistry.
[22] K. Esbensen,et al. Protein heterogeneity in wheat lots using single-seed NIT : A Theory of Sampling (TOS) breakdown of all sampling and analytical errors , 2006 .
[23] Romà Tauler,et al. Multivariate Curve Resolution (MCR) from 2000: Progress in Concepts and Applications , 2006 .
[24] Søren Balling Engelsen,et al. Multivariate near-infrared and Raman spectroscopic quantifications of the crystallinity of lactose in whey permeate powder. , 2005 .
[25] C. Jun,et al. Performance of some variable selection methods when multicollinearity is present , 2005 .
[26] Age K. Smilde,et al. ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data , 2005, Bioinform..
[27] Rasmus Bro,et al. Multi-way Analysis with Applications in the Chemical Sciences , 2004 .
[28] Romà Tauler,et al. Modeling temperature-dependent protein structural transitions by combined near-IR and mid-IR spectroscopies and multivariate curve resolution. , 2003, Analytical chemistry.
[29] H. Martens,et al. Near-Infrared Absorption and Scattering Separated by Extended Inverted Signal Correction (EISC): Analysis of Near-Infrared Transmittance Spectra of Single Wheat Seeds , 2002 .
[30] S. Engelsen,et al. Interval Partial Least-Squares Regression (iPLS): A Comparative Chemometric Study with an Example from Near-Infrared Spectroscopy , 2000 .
[31] R. Difoggio. Guidelines for Applying Chemometrics to Spectra: Feasibility and Error Propagation , 2000 .
[32] Pierre Dardenne,et al. Validation and verification of regression in small data sets , 1998 .
[33] I. Noda. Generalized Two-Dimensional Correlation Method Applicable to Infrared, Raman, and other Types of Spectroscopy , 1993 .
[34] I. Wakeling,et al. A test of significance for partial least squares regression , 1993 .
[35] T. Isaksson,et al. SEP or RMSEP, Which is Best? , 1991 .
[36] Paul Geladi,et al. The start and early history of chemometrics: Selected interviews. Part 1 , 1990 .
[37] R. Barnes,et al. Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra , 1989 .
[38] Tormod Næs,et al. Improved selectivity in spectroscopy by multivariate calibration , 1987 .
[39] Paul Geladi,et al. Principal Component Analysis , 1987, Comprehensive Chemometrics.
[40] S. Wold,et al. Partial least squares analysis with cross‐validation for the two‐class problem: A Monte Carlo study , 1987 .
[41] P. Geladi,et al. Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat , 1985 .
[42] S. Wold. Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .
[43] Forrest W. Young,et al. Additive structure in qualitative data: An alternating least squares method with optimal scaling features , 1976 .
[44] F. J. Anscombe,et al. Graphs in Statistical Analysis , 1973 .
[45] E. A. Sylvestre,et al. Self Modeling Curve Resolution , 1971 .
[46] A. Savitzky,et al. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .
[47] H. Hotelling. The relations of the newer multivariate statistical methods to factor analysis. , 1957 .
[48] A. Beach,et al. Vacuum Fusion Furnace for Analysis of Gases in Metals , 1950 .
[49] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[50] J. Kjeldahl,et al. Neue Methode zur Bestimmung des Stickstoffs in organischen Körpern , 1883 .
[51] Frans van den Berg,et al. Prediction of total fatty acid parameters and individual fatty acids in pork backfat using Raman spectroscopy and chemometrics: Understanding the cage of covariance between highly correlated fat parameters. , 2016, Meat science.
[52] 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.
[53] H. Martens,et al. Modified Jack-knife estimation of parameter uncertainty in bilinear modelling by partial least squares regression (PLSR) , 2000 .
[54] Søren Balling Engelsen,et al. New approaches to rapid spectroscopic evaluation of properties in pectic polymers , 1998 .
[55] H. Martens,et al. Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy. , 1991, Journal of pharmaceutical and biomedical analysis.
[56] B. Efron. The jackknife, the bootstrap, and other resampling plans , 1987 .
[57] S. Wold,et al. The multivariate calibration problem in chemistry solved by the PLS method , 1983 .
[58] P. Williams. Application of near infrared reflectance spectroscopy to analysis of cereal grains and oilseeds. , 1975 .
[59] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .
[60] R. Fisher. XV.—The Correlation between Relatives on the Supposition of Mendelian Inheritance. , 1919, Transactions of the Royal Society of Edinburgh.