11. Literatura
[24] Q.-S. Xu, Y.-Z. Liang, Monte Carlo cross validation, Chemom. Intell. Lab. Syst. 56 (2001) 1-11.
[25] S. Semeels, C. Croux, P. Filzmoser, P.J. Van Espen, Partial robust M-regression, Chemom. Intell. Lab. Syst. 79 (2005) 55-64.
[26] H. Fritz, P. Filzmoser, C. Croux, A comparison of algorithms for the multivariate L 1-median, Comput. Stat. 27 (2012) 393-łlO.
[27] O. Hossjer, C. Croux, Generalizing univariate signed rank statistics for testing and estimating a multivariate location parameter, J. Nonparametric Stat. 4 (1995) 293-308.
[28] A.C. 01ivieri, G.M. Escandar, A.M. de la Pefia, Second-order and higher-order multivariate calibration methods applied to non-multilinear data using different algorithms, TrAC Trends Anal. Chem. 30 (2011) 607-617.
[29] V. Centner, D.L. Massart, O.E. de Noord, S. de Jong, B.M. Vandeginste, C. Sterna, Elimination of Uninformative Variables for Multivariate Calibration, Anal. Chem. 68(1996)3851-3858.
[30] A. Smolińska, A.C. Hauschild, R.R.R. Fijten, J.W. Dallinga, J. Baumbach, F.J. van Schooten, Current breathomics a review on data pre-processing techniques and machinę leaming in metabolomics breath analysis, J. Breath Res. 8 (2014) 027105.
[31] M. Daszykowski, J. Orzeł, M.S. Wróbel, H. Czamik-Matusewicz, B. Walczak, Improvement of classification using robust soft classification rules for near-infrared reflectance spectral data, Chemom. Intell. Lab. Syst. 109 (2011) 86-93.
[32] R.A. Fisher, The use of multiple measurements in taxonomic problems, Ann. Eugen. 7(1936) 179-188.
[33] M. Barker, W. Rayens, Partial lcast squares for discrimination, J. Chemom. 17 (2003) 166-173.
[34] L. Breiman, J. Friedman, CJ. Stone, R.A. Olshen, Classification and regression trees, Taylor & Francis, 1984.
[35] S. Wold, M. Sjostrom, S1MCA: A method for fhalyzing Chemical data in terms of similarity and analogy, w: Chemometrics: Theory and Application, American Chemical Society, Waszyngton, 1977.
[36] Dynamie Time Warping and Correlation Optimized Warping | Plant Food Science group & Spectroscopy and Chemometrics group, http://www.models.life.ku.dk/dtw_cow (ostatni dostęp 27 listopada 2014).
[37] M. Daszykowski, S. Semeels, K. Kaczmarek, P. Van Espen, C. Croux, B. Walczak, TOMCAT: A MATLAB toolbox for multivariate calibration techniąues, Chemom. Intell. Lab. Syst. 85 (2007) 269-277.
[38] The N-way toolbox for MATLAB | Plant Food Science group & Spectroscopy and Chemometrics group, http://www.models.kvl.dk/nwaytoolbox (ostatni dostęp 12 marca 2012).
[39] W. Cheung, I.T. Shadi, Y. Xu, R. Goodacre, Quantitative analysis of the banned food dye sudan-1 using surface enhanced raman scattering with multivariate chemometrics, J. Phys. Chem. C. 114 (2010) 7285-7290.
[40] Y. Ni, Y. Wang, S. Kokot, Simultaneous kinetic spectrophotometric analysis of five synthetic food colorants with the aid of chemometrics, Talanta. 78 (2009) 432-441.
[41] M. Daszykowski, Y. Vander Heyden, B. Walczak, Robust partial least squares model for prediction of green tea antioxidant capacity from chromatograms, J. Chromatogr. A. 1176 (2007) 12-18.
[42] X. Lu, B.A. Rasco, Determination of antioxidant content and antioxidant activity in foods using infrared spectroscopy and chemometrics: a review, Crit. Rev. Food Sci. Nutr. 52 (2012) 853-875.
[43] X. Lu, J. Wang, H.M. Al-Qadiri, C.F. Ross, J.R. Powers, J. Tang, i in., Determination of total phenolic content and antioxidant capacity of onion (Allium cepa) and shallot (Allium oschaninii) using infrared spectroscopy, Food Chem. 129 (2011) 637-644.
Strona 135