A review of recent methods for the determination of ranges of feasible solutions resulting from soft modelling analyses of multivariate data.
暂无分享,去创建一个
Klaus Neymeyr | Marcel Maeder | Mathias Sawall | Azadeh Golshan | Hamid Abdollahi | K. Neymeyr | R. Tauler | M. Maeder | H. Abdollahi | M. Sawall | R. Rajkó | Samira Beyramysoltan | Robert Rajkó | Romá Tauler | A. Golshan | Samira Beyramysoltan
[1] Klaus Neymeyr,et al. A fast polygon inflation algorithm to compute the area of feasible solutions for three‐component systems. II: Theoretical foundation, inverse polygon inflation, and FAC‐PACK implementation , 2014 .
[2] K. Neymeyr,et al. On the area of feasible solutions and its reduction by the complementarity theorem. , 2014, Analytica chimica acta.
[3] Newer developments on self-modeling curve resolution implementing equality and unimodality constraints. , 2014, Analytica chimica acta.
[4] A. Olivieri. Analytical figures of merit: from univariate to multiway calibration. , 2014, Chemical reviews.
[5] Hamid Abdollahi,et al. Investigation and visualization of resolution theorems in self modeling curve resolution (SMCR) methods , 2013 .
[6] Marcel Maeder,et al. Determination and visualization of rotational ambiguity in four-component systems. , 2013, Analytica chimica acta.
[7] Róbert Rajkó,et al. Investigation of the equality constraint effect on the reduction of the rotational ambiguity in three-component system using a novel grid search method. , 2013, Analytica chimica acta.
[8] H. Abdollahi,et al. On uniqueness and selectivity in three-component parallel factor analysis. , 2013, Analytica chimica acta.
[9] Klaus Neymeyr,et al. A fast polygon inflation algorithm to compute the area of feasible solutions for three‐component systems. I: concepts and applications , 2013 .
[10] Klaus Neymeyr,et al. Reduction of the rotational ambiguity of curve resolution techniques under partial knowledge of the factors. Complementarity and coupling theorems , 2012 .
[11] Marcel Maeder,et al. The reduction of rotational ambiguity in soft-modeling by introducing hard models. , 2012, Analytica chimica acta.
[12] Marcel Maeder,et al. Resolution of rotational ambiguity for three-component systems. , 2011, Analytical chemistry.
[13] Romà Tauler,et al. MCR-BANDS: A user friendly MATLAB program for the evaluation of rotation ambiguities in Multivariate Curve Resolution , 2010 .
[14] Piroska Szabó-Révész,et al. Self-modeling curve resolution method applied for the evaluation of dissolution testing data: a case study of meloxicam-mannitol binary systems. , 2009, Talanta.
[15] Róbert Rajkó,et al. Computation of the range (band boundaries) of feasible solutions and measure of the rotational ambiguity in self-modeling/multivariate curve resolution. , 2009, Analytica chimica acta.
[16] R. Rajkó. Studies on the adaptability of different Borgen norms applied in self‐modeling curve resolution (SMCR) method , 2009 .
[17] Romà Tauler,et al. Calculation and meaning of feasible band boundaries in multivariate curve resolution of a two-component system. , 2009, Analytical chemistry.
[18] R. Bro,et al. Resolving the sign ambiguity in the singular value decomposition , 2008 .
[19] R. Rajkó,et al. Preparation of a Solid Dispersion by a Dropping Methodto Improve the Rate of Dissolution of Meloxicam , 2008 .
[20] R. Tauler,et al. Application of non-linear optimization methods to the estimation of multivariate curve resolution solutions and of their feasible band boundaries in the investigation of two chemical and environmental simulated data sets. , 2007, Analytica chimica acta.
[21] Margaret Werner-Washburne,et al. BMC Bioinformatics BioMed Central Methodology article Multivariate curve resolution of time course microarray data , 2006 .
[22] Romà Tauler,et al. On rotational ambiguity in model‐free analyses of multivariate data , 2006 .
[23] Róbert Rajkó,et al. Natural duality in minimal constrained self modeling curve resolution , 2006 .
[24] Róbert Rajkó,et al. Analytical solution for determining feasible regions of self‐modeling curve resolution (SMCR) method based on computational geometry , 2005 .
[25] Ronald C. Henry,et al. Duality in multivariate receptor models , 2005 .
[26] Philip K. Hopke,et al. A graphical diagnostic method for assessing the rotation in factor analytical models of atmospheric pollution , 2005 .
[27] R. Tauler,et al. Noise propagation and error estimations in multivariate curve resolution alternating least squares using resampling methods , 2004 .
[28] R. Tauler,et al. Resolution of Parallel and Antiparallel Oligonucleotide Triple Helices Formation and Melting Processes by Multivariate Curve Resolution , 2003, Journal of biomolecular structure & dynamics.
[29] 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.
[30] Yi-Zeng Liang,et al. On simplex-based method for self-modeling curve resolution of two-way data , 2003 .
[31] P. Wentzell,et al. Dynamic Monte Carlo self-modeling curve resolution method for multicomponent mixtures , 2002 .
[32] Ronald C. Henry,et al. Multivariate receptor models—current practice and future trends , 2002 .
[33] R. Tauler. Calculation of maximum and minimum band boundaries of feasible solutions for species profiles obtained by multivariate curve resolution , 2001 .
[34] M. Maeder,et al. Resolving factor analysis. , 2001, Analytical chemistry.
[35] Damià Barceló,et al. Multivariate correlation between concentrations of selected herbicides and derivatives in outflows from selected U.S. Midwestern reservoirs , 2000 .
[36] P. Gemperline,et al. Computation of the range of feasible solutions in self-modeling curve resolution algorithms. , 1999, Analytical chemistry.
[37] Peter D. Wentzell,et al. Direct optimization of self-modeling curve resolution: application to the kinetics of the permanganate - oxalic acid reaction , 1998 .
[38] B. Kowalski,et al. Selectivity, local rank, three‐way data analysis and ambiguity in multivariate curve resolution , 1995 .
[39] R. Manne. On the resolution problem in hyphenated chromatography , 1995 .
[40] A. Selman,et al. Selectivity , 2020, ICCI.
[41] Ronald C. Henry,et al. Extension of self-modeling curve resolution to mixtures of more than three components: Part 3. Atmospheric aerosol data simulation studies☆ , 1990 .
[42] R. Henry,et al. Extension of self-modeling curve resolution to mixtures of more than three components: Part 1. Finding the basic feasible region , 1990 .
[43] Odd S. Borgen,et al. The multivariate N-Component resolution problem with minimum assumptions , 1986 .
[44] Bruce R. Kowalski,et al. An extension of the multivariate component-resolution method to three components , 1985 .
[45] John E. Dennis,et al. An Adaptive Nonlinear Least-Squares Algorithm , 1977, TOMS.
[46] E. J. Billo. Copper(II) chromosomes and the rule of average environment , 1974 .
[47] T. Kaden,et al. Transition Metal Ions and Amides, VI. Complexation of the neutral and the anionic forms of 3, 7-diazanonanedioic acid diamide and 3, 7-diazanonanedioic acid diethylamide with Cu2+ and Ni2+† , 1974 .
[48] E. A. Sylvestre,et al. Self Modeling Curve Resolution , 1971 .