Three-Mode bibliography, Part C

• Cant, R. G. (1971).
  Changes in the location of manufacturing in New Zealand 1957-1968: An application of three-mode factor analysis. New Zealand Geographer, 27, 38-55. Abstract
• Cant, R. G. (1975).
  Three-mode factor analysis as applied to industrial location data. In L. Collins & D. F. Walker (Eds.), Locational dynamics of manufacturing activity (pp. 201-225). London: Wiley. Abstract (not yet available)
• Cao, Y. Z., Chen, H., Wu, H. L.& Yu, R. Q. (2003).
  An algorithm for three-way data analysis that alternatively minimizes coupled vector (COV) resolution error and PARAFAC error. Analytical Sciences, 19, 753-756. Abstract PDF
• Cao, Y. Z., Chen, Z. P., Mo, C. Y., Wu, H. L.& Yu, R. Q. (2000).
  A PARAFAC algorithm using penalty diagonalization error(PDE) for three-way data array resolution. The Analyst, 125, 2303-2310. Abstract PDF
• Carlier, A. (1985a).
  Analyse des évolutions sur tables de contingence: Quelques aspects opérationels [Analysis of evolutions in contingency tables: Some practical aspects]. In E. Diday et al. (Eds.), Data analysis and informatics 4 (pp. 421-428). Amsterdam: North Holland. ** Abstract (not yet available)
• Carlier, A. (1985b).
  Application de l'analyse factorielle des évolutions et de l'analyse intra-periodes [An application of factorial analysis of evolutions and the analysis between occasions]. Statistiques et Analyse de Données, 10, 27-53. Abstract
• Carlier, A. (1986).
  Factor analysis of evolution and cluster methods on trajectories. In F. de Antoni, N. Lauro, & A. Rizzi (Eds.), Compstat 1986 (pp. 140-145). Heidelberg: Physica Verlag. Abstract
• Carlier, A. (1989).
  L'Analyse des évolutions de tables de contingence. Technical report No. 689, Department of Computer Science and Operational Research University of Montréal, Montréal Canada. Abstract (not yet available)
• Carlier, A. (1995).
  Examples of 3-way correspondence analysis, Technical report, Laboratoire of Statistique et Probabilité Université Paul-Sabatier, Toulouse France. Abstract (not yet available)
• Carlier, A., & Ewing, G. (1992).
  Longitudinal analysis of contingency tables with application to demographic data. Computational Statistics, 7, 329-353. Abstract
• Carlier, A., & Kroonenberg, P. M. (1996).
  Decompositions and biplots in three-way correspondence analysis. Psychometrika, 61, 355-373. Abstract PDF
• Carlier, A. & Kroonenberg, P. M. (1998).
  The case of the French cantons: An application of three-way correspondence analysis. In J. Blasius & M. Greenacre (Eds.), Visualization of categorical data (pp. 253-275). New York: Academic Press. Abstract (not yet available)
  
• Carlier, A., Lavit, C., Pagés, M., Pernin, M.-O., & Turlot, J.-C. (1989).
  A comparative review of methods which handle a set of indexed data tables. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 85-101). Amsterdam: Elsevier. Abstract
   
• Carroll, J. D. (1972a).
  Individual differences and multidimensional scaling. In R. N. Shepard, A. K. Romney & S. B. Nerlove (Eds.), Multidimensional scaling: Theory and applications in the behavioral sciences, 1: Theory (pp. 105-155). New York: Seminar Press. Address Abstract
• Carroll, J. D. (1986).
  Some multidimensional scaling and related procedures devised at Bell Laboratories with ecological applications. In P. Legendre & L. Legendre (Eds.), Developments in numerical ecology (pp. 65-138). Berlin: Springer. ** Abstract (not yet available)
• Carroll, J. D., & Arabie, P. (1980).
  Multidimensional scaling. Annual Review of Psychology, 31, 607-649. Abstract PDF
  
• Carroll, J. D., & Arabie, P. (1982).
  How to use INDCLUS, a computer program for fitting individual differences generalization of the ADCLUS model. Working paper, Bell Laboratories, Murray Hill New Jersey. Abstract (not yet available)
• Carroll, J. D., & Arabie, P. (1983).
  INDCLUS: an individual differences generalization of the ADCLUS model and the MAPCLUS algorithm. Psychometrika, 48, 157-169. Abstract PDF
• Carroll, J. D., & Arabie, P. (1983).
  INDCLUS: an individual differences generalization of the ADCLUS model and the MAPCLUS algorithm. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.). Research methods for multimode data analysis (pp. 518-534). New York: Praeger. Abstract Reprinted from Carroll et al., 1983
• Carroll, J. D., & Arabie, P. (1996).
  Multidimensional Scaling. In M. H. Birnbaum (Ed.), Handbook of perception and cognition, Vol. 3: Measurement, judgment and decision making (pp. 179-250). San Diego, CA: Academic Press, Inc. Abstract
• Carroll, J. D., & Chang, J. J. (1970).
  Analysis of individual differences in multidimensional scaling via an N-way generalization of "Eckart-Young" decomposition. Psychometrika, 35, 283-319. Abstract PDF
• Carroll, J. D., & Chang, J. J. (1972).
  IDIOSCAL: A generalization of INDSCAL allowing IDIOsyncratic reference system as well as an analytic approximation to INDSCAL. Paper presented at the Spring Meeting of the Classification Society of North America. Princeton NJ, March. Abstract (not yet available)
• Carroll, J. D., & Chaturvedi, A. (1995).
  A general approach to clustering and multidimensional scaling of two-way, three-way, or higher-way data. In R. D. Luce, M. D'Zmura, D. D. Hoffman, G. J. Iverson, & A. K. Romney (Eds.), Geometric representations of perceptual phenomena: Papers in honor of Tarow Indow on his 70th birthday (pp. 295-318). Mahwah, NJ: Erlbaum. Abstract
• Carroll, J. D., Chaturvedi, A., & Green, P. E. (1994).
  K-means, K-medians and K-modes: Special cases of partitioning multiway data. Paper presented at the Annual Meeting of the Classification Society of North America. Houston, June. Abstract (not yet available)
• Carroll, J. D., Clark, L. A., & DeSarbo, W. S. (1984).
  The representation of three-way proximity data by single and multiple tree structure models. Journal of Classification, 1, 25-74. Abstract PDF
• Carroll, J. D., & De Soete, G. (1991).
  Toward a new paradigm for the study of multiattribute choice behavior. Spatial and discrete modeling of pairwise preferences. American Psychologist, 46, 342-351. Abstract PDF
• Carroll, J. D., De Soete, G., & Kamensky, V. (1992).
  A modified CANDECOMP algorithm for fitting the latent class model: Implementation and evaluation. Applied Stochastic Models and Data Analysis, 8, 303-309. Abstract
• Carroll, J. D., De Soete, G., & Pruzansky, S. (1989).
  Fitting of the latent class model via iteratively reweighted least squares CANDECOMP with nonnegativity constraints. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 463-472). Amsterdam: Elsevier. Abstract
• Carroll, J. D., & Green, P. E. (1988).
  An INDSCAL-based approach to multiple correspondence analysis. Journal of Marketing Research, 25, 193-203. Abstract PDF
• Carroll, J. D., & Green, P. E. (1997).
  Psychometric methods in marketing research: Part II, Multidimensional scaling. Journal of Marketing Research, 34, 193-204. Abstract PDF
• Carroll, J. D., & Pruzansky, S. (1979).
  Use of LINCINDS as a rational starting configuration for INDSCAL. Technical report, Bell Laboratories, Murray Hill NJ. Abstract (not yet available)
• Carroll, J. D., & Pruzansky, S. (1984).
  The CANDECOMP-CANDELINC family of models and methods for multidimensional data analysis. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 372-402). New York: Praeger. Abstract (not yet available)
• Carroll, J. D., & Pruzansky, S. (1986).
  Discrete and hybrid models for proximity data. In W. Gaul & M. Schader (Eds.), Classification as a tool of research (pp. 47-59). Amsterdam: Elsevier. Abstract (not yet available)
• Carroll, J. D., Pruzansky, S., & Green, P. E. (1977).
  Estimation of the parameters of Lazarsfeld's latent class model by application of canonical decomposition (CANDECOMP) to multi-way contingency tables. Technical Memorandum No. 77-1229-7, Bell Laboratories, Murray Hill NJ Abstract
• Carroll, J. D., Pruzansky, S., & Kruskal, J. B. (1980b).
  CANDELINC: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters. Psychometrika, 45, 3-24. Abstract PDF
• Carroll, J. D., & Winsberg, S. (1995).
  Fitting an extended INDSCAL model to three-way proximity data. Journal of Classification, 12, 57-71. Abstract PDF
• Carroll, J. D., & Wish, M. (1974).
  Models and methods for three-way multidimensional scaling. In D. H. Krantz, R. C. Atkinson, R. D. Luce, & P. Suppes (Eds.), Contemporary developments in mathematical psychology. Vol. 2 (pp. 57-105). San Francisco: W. H. Freeman. Abstract
• Casassas, E., Tauler, R., & Marquès, I. (1994).
  Interactions of H+ and Cu(II) ions with poly(adenylic acid): Study by factor-analysis. Macromolecules, 27, 1729-1737.** Abstract PDF
• Casin, Ph. (1995).
  L'analyse discriminante de tableaux évolutifs. [Discriminant analysis of longitudinal tables].Revue de Statistique Appliquée, 43, 73-91. Abstract
• Casin, Ph. (2001).
  A generalization of principal component analysis to K sets of variables. Computational Statistics & Data Analysis, 35, 417-428. Abstract PDF
• Cattell, R. B. (1966).
  The data box: Its ordering of total resources in terms of possible relational systems. In R. B. Cattell (Ed.), Handbook of multivariate experimental psychology (pp. 67-128). Chicago: Rand McNally. Abstract
• Cattell, R. B. (1980).
  The separation and evaluation of personal and environmental contributions to behavior by the person-centered model (PCER). Multivariate Behavioral Research, 15, 371-402. Abstract PDF
• Cattell, R. B., Blaine, D. D., & Brennan, J. M. (1984).
  N-way factor analysis for obtaining personality-environment-test contribution systems to any response: A plasmode illustration. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 333-370). New York: Praeger. Abstract (not yet available)
• Cattell, R. B., & Cattell, A. K. S. (1955).
  Factor rotation for proportional profiles: Analytical solution and an example. The British Journal of Statistical Psychology, 8, 83-92. Abstract (not yet available)
         
• Cecil, T. L., & Rutan, S. C. (1991).
  Fluorescence detection in liquid chromatography with an intensified diode-array detector. Journal of Chromatography, 556, 495-503. Abstract  PDF
• Ceulemans, E., Van Mechelen, I. & Leenen, I. (2003).
  Tucker3 hierarchical classes analysis. Psychometrika, 68, 413-433. Abstract PDF
• Ceulemans, E. & Van Mechelen, I. (2003a).
  Uniqueness of N-way N-mode hierarchical classes models. Journal of Mathematical Psychology, 47,259-264. Abstract PDF
• Ceulemans, E., Van Mechelen, I., & Kuppens, P.(2004).
  Adapting the formal to the substantive: Constrained Tucker3-HICLAS. Journal of Classification, 21,19-50. Abstract PDF      
• Chapman, S. C., Crossa, J., Basford, K. E., & Kroonenberg, P. M. (1997).
  Genotype by environment effects and selection for drought tolerance in tropical maize. II. Three-mode pattern analysis. Euphytica, 95, 11-20. Abstract PDF
• Chapman, S. C., Edmeades, G. O., & Crossa, J. (1996).
  Pattern analysis of gains from selection for drought tolerance in tropical maize populations. In M. Cooper & G. L. Hammer (Eds.), Plant adaption and crop improvement (pp. 513-527). Wallingford, UK: CAB International. Abstract (not yet available)
• Chapman, R. M., & McCrary, J. W. (1995).
  EP component identification and measurement by principal components analysis. Brain and Cognition, 27, 288-310. Abstract PDF
• Chaturvedi, A., & Carroll, J. D. (1994).
  An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models. Journal of Classification, 11, 155-170. Address Abstract PDF
• Chen, G., & McAvoy, T. J. (1998).
  Predictive on-line monitoring of continuous processes. Journal of Process Control, 8, 409-420. Abstract PDF
• Chen, J. H., & Yen J. H. (2003).
  Three-way data analysis with time lagged window for on-line batch process monitoring. Korean Journal of Chemical Engineering, 20, 1000-1011. Abstract
• Chen, Z. P., Li, Y., & Yu, R. Q. (2001a).
  Pseudo alternating least squares algorithm for trilinear decomposition. Journal of Chemometrics, 15, 149-167. Abstract PDF
• Chen, Z. P., Wu, H. L., Li, Y., & Yu, R. Q. (2000a).
  Novel constrained PARAFAC algorithm for second-order linear calibration. Analytica Chimica Acta, 423, 187-196. Abstract PDF
• Chen, Z. P., Wu, H. L., Jiang, J. H., Li, Y. & Yu, R. Q. (2000b).
  A novel trilinear decomposition algorithm for second-order linear calibration. Chemometrics and Intelligent Laboratory Systems, 52, 75-86. Abstract PDF
• Chen, Z. P., Wu, H. L., & Yu, R. Q. (2001b).
  On the self-weighted alternating trilinear decomposition algorithm - the property of being insensitive to excess factors used in calculation. Journal of Chemometrics, 15, 439-453. Abstract PDF
• Chen, Z. P., Liu, Z., Cao, Y. Z., & Yu, R. Q. (2001c).
  Efficient way to estimate the optimum number of factors for trilinear decomposition. Analytica Chimica Acta, 444, 295-307. Abstract PDF
• Chen, Z. P., & Yu, R. Q. (2003).
  Mitigating model deficiency in three-way data analysis by the combination of background constraining and iterative correcting techniques. Analitica Chimica Acta, 487, 171-180. Abstract PDF
• Chen, Z. N., Zhu, E. Y., & Chen, N. Y. (1993).
  Application of orthogonal expansion to mapping and modeling. Journal of Chemometrics, 7, 243-253. Abstract
• Chessel, D., & Mercier, P. (1993).
  Couplage de triplets statistiques et liaisons espèces-environnement. In J. D. Lebreton & B. Asselain (Eds.), Biométrie et Environnement (pp.15-44). Paris: Masson. Abstract PDF
• Chiarello, E., & Chassery, J. M. (1997).
  Typology of spatial structures of images having the same color set. Journal of Mathematical Imaging and Vision, 7, 359-374. Abstract PDF
• Chiodi, M., & Mineo, A. M. (1999).
  The Analysis of Auxological Data by Means of Nonlinear Multivariate Growth Curves. In M. Vichi, & O. Opitz (Eds.), Classification and Data Analysis (pp. 247-254). Pescara: Proceedings of the Biannual Meeting of the Classification Group of Societa Italiana di Statistica (SIS). Abstract PDF
• Chojnicki, Z., & Czyz, T. (1976).
  Some problems in the application of factor analysis in geography. Geographical Analysis, 8, 416-427. Abstract
• Choulakian, V. (1988).
  Analyse factorielle des correspondances de tableaux multiples [Factorial correspondence analysis of multiway tables]. Revue de Statistique Appliquée, 36, 33-41. Address Abstract
• Choulakian, V., & Allard, J. (1989).
  Analysis of three-way contingency tables by a family of mixed log-linear models. Research Report Stat No. 5, University of Moncton, Moncton Canada. Abstract (not yet available)
• Christensen, J., Povlsen, V. T., & Sorensen, J. (2003).
  Application of fluorescence spectroscopy and chemometrics in the evaluation of rocessed cheese during storage. Journal of Dairy Science, 86, 1101-1107. Abstract PDF
• Christensen, J., Becker, E. M., & Frederiksen, C. S. (2005).
  Fluorescence spectroscopy and PARAFAC in the analysis of yogurt. Chemometrics and Intelligent Laboratory Systems, 75, 201-208. Abstract PDF
   
• Cinca, C. S., Molinero, C. M., & Larraz, J. L. G. (2002).
  A multivariate study of the economy of the European Union via financial statements analysis. Journal of the Royal Statistical Society Series D-the Statistician, 51, 335-354. Abstract      
• Clore, G. L., & Itkin, S. M. (1982).
  Attraction and conversational style. In N. Hirschberg & L. G. Humphreys (Eds.), Multivariate applications in the social sciences (pp. 143-162). Hillsdale, NJ: Erlbaum. Abstract (not yet available)
       
• Coello, J., Maspoch, S., & Villegas, N. (2000).
  Simultaneous kinetic-spectrophotometric determination of levodopa and benserazide by bi- and three-way partial least squares calibration. Talanta, 53,, 627-637. Abstract PDF
• Cohen, H. S. (1974).
  Three-mode rotation to approximate INDSCAL structure (TRAIS). Technical Memorandum No. 74-3433-14, Bell Laboratories, Murray Hill NJ. Abstract
• Cohen, J. E., & Rothblum, U. G. (1993).
  Nonnegative ranks, decompositions, and factorizations of nonnegative matrices. Linear Algebra and its Applications, 190,, 149-168. Abstract PDF
• Cole, H. W., & Ray, W. J. (1985).
  EEG correlates of emotional tasks related to attentional demands. International Journal of Psychophysiology, 3, 33-41. Abstract PDF
• Comas, E., Gimeno, R. A., Ferre, J., Marce, R. M., Borrull, F., & Rius, F. X. (2004).
  Quantification from highly drifted and overlapped chromatographic peaks using second-order calibration methods. Journal of Chromatography, 1035, 195-202. Abstract PDF
• Commandeur, J. J. F. (1991).
  Matching configurations. Leiden: DSWO Press. Address Abstract (not yet available)
• Commandeur, J. J. F., Kroonenberg, P. M., & Dunn III, W. J. (2004).
  A dedicated generalized Procrustes algorithm for consensus molecular alignment. Journal of Chemometrics, 18, 37-42. Abstract PDF
• Comon, P., (1996).
  Decompositions of quantics in sums of powers of linear forms. Signal Processing, 53, 96-107. Abstract PDF
• Comon, P., (2002).
  Tensor decompositions. State of the art and applications. In J. G. McWhirter & I. K. Proudler (Eds.), Mathematics in signal processing V (pp. 1--24). Oxford, UK: Clarendon Press Abstract
• Comon, P., (2014).
  Tensor: A brief introduction. IEEE Signal Processing Magazine, 31(3), 43-53. AbstractPDF
• Connor, S. C., Wu, W., Sweatman, B. C., Manini, J., Haselden, J. N., Crowther, D. J., & Waterfield, C. J. (2004).
  Effects of feeding and body weight loss on the H-1-NMR-based urine metabolic profiles of male Wistar Han rats: implications for biomarker discovery. Biomarkers, 9, 156-179. Abstract
• Cooper, L. G. (1973).
  A multivariate investigation of preferences. Multivariate Behavioral Research, 8, 253-272. Address Abstract
• Cooper, L. G. (1988).
  Competitive maps: The structure underlying asymmetric cross elasticities. Management Science, 34, 707-723. Abstract PDF
• Cooper, L. G., Klapper, D., & Inoue, A. (1996).
  Competitive-component analysis: A new approach to calibrating asymmetric market-share models. Journal of Marketing Research, 33, 224-238. Abstract PDF
• Cooper, M., & DeLacy, I. H. (1994).
  Relationships among analytical methods used to study genotypic variation and genotype-by-environment interaction in plant breeding multi-environment experiments. Theoretical and Applied Genetics, 88, 561-572. Abstract PDF
• Cooper, M., Woodruff, D. R., Phillips, I. G., Basford, K. E., & Gilmour, A. R. (2001).
  Genotype-by-management interactions for grain yield and grain protein concentration of wheat. Field Crops Research, 69, 47-67. Abstract PDF
• Coppi, R. (1982).
  Theoretical and practical problems in the analysis of multidimensional contingency tables. Metron - International Journal of Statistics, 40, 3-35. Address Abstract
• Coppi, R. (1984).
  La stima della funzione di verosimiglianza nell'analisi discriminante qualitativa [Estimation of the likelihood function in discrete discriminant analysis]. In Proceedings of the 32nd Meeting of the Italian Statistical Society (pp. ???-???). Sorrento, 11-13 April. Abstract (not yet available)
• Coppi, R. (1986a).
  Analysis of three-way data matrices based on pairwise relation measures. In F. de Antoni, N. Lauro, & A. Rizzi (Eds.), Compstat 1986 (pp. 129-139). Heidelberg: Physica-Verlag. Abstract
• Coppi, R. (1986b).
  Comparaison de méthodes et comparaison de stratégies d'analyse: quelques reflexions sur l'analyse d'un gros fichier de données sociologiques [Comparison of methods and of analysis strategies: Some thoughts on the analysis of a large set of sociological data]. Technical report, Laboratory of Statistics and Probability University Paul-Sabatier, Toulouse France. Abstract (not yet available)
• Coppi, R. (1986c).
  Problemi e metodi di analisi di una serie di matrici di dati [Problems and methods of analysis of a series of data matrices]. In Proceedings of the 33rd Meeting of the Italian Statistical Society, Vol. 1 (pp. 153-155). Bari, 28-30 April. Abstract (not yet available)
• Coppi, R. (1988).
  Prospettive metodologiche nell'analisi di matrici di dati a più indici. In Proceedings of the Workshop of the Italian I. F. C. S. Group (pp. ???-???). Erice - Trapani, 24-25 October. Abstract (not yet available)
• Coppi, R. (1994).
  An introduction to multiway data and their analysis. Computational Statistics & Data Analysis, 18, 3-13. Abstract PDF
• Coppi, R., & Bolasco, S. (Eds.) (1989).
  Multiway data analysis. Amsterdam: Elsevier. Abstract (not yet available)
• Coppi, R., & D'Urso, P. (2003).
  Three-way fuzzy clustering models for LR fuzzy time trajectories. Computational Statistics & Data Analysis, 43, 149-177. Abstract PDF
• Coppi, R., & Zannella, F. (1978).
  L'Analisi fattoriale di una serie temporale multipla relativa allo stesso insieme di unità statistiche [Factor analysis of multiple time series observed on a given set of individuals]. In Proceedings of the 29th Meeting of the Italian Statistical Society, Vol. 2 (pp. ???-???). Bologna, 20-22 March. Abstract (not yet available)
• Cornelius III, E. T., Hakel, M. D., & Sackett, P. R. (1979).
  A methodological approach to job classification for performance appraisal purposes. Personnel Psychology, 32, 283-297. Abstract PDF
• Cornillon, P. A., Sabatier, R., & Chessel, D. (1993).
  Analyse d'un cube sous double contrainte de voisinage. In Bulletin of the ISI. Contributed papers 49th Session. Vol. 1 (pp. 285-286). Rome, July Abstract (not yet available)
• Corter, J. E., & Carroll, J. D. (1990).
  Potential applications of three-way multidimensional scaling and related techniques to integrate knowledge from multiple experts. In D. J. Hand (Ed.), Artifical intelligence and statistics II (pp. 77-92). Basel: Baltzer. Abstract (not yet available)
• Courcoux, P., Devaux, M. F., & Bouchet, B. (2002).
  Simultaneous decomposition of multivariate images using three-way data analysis: Application to the comparison of cereal grains by confocal laser scanning microscopy. Chemometrics and Intelligent Laboratory Systems, 62, 103-113. Abstract PDF
       
• Crivisqui, E. (1987).
  Analyse conjointe d'une série de tableaux de type "individus x variables qualitatives". Working paper, Department of Sociology Free University of Brussels, Brussels Belgium. Abstract (not yet available)
• Cronbach, L. J. (1984).
  A research worker's treasure chest. Multivariate Behavioral Research, 19, 223-240. Abstract (not available) PDF
• Crouch, S. R., Coello, J., Maspoch, S., & Porcel, M. (2000).
  Evaluation of classical and three-way multivariate calibration procedures in kinetic-spectrophotometric analysis. Analytica Chimica Acta, 424, 115-126. Abstract PDF
• Crossa, J., Basford, K., Taba, S., DeLacy, I., & Silva, E. (1995).
  Three-mode analyses of maize using morphological and agronomic attributes measured in multilocational trials. Crop Science, 35, 1483-1491. Abstract      
• Cueva, J. M. D., Rossi, A. V., & Poppi, R. J. (2001).
  Modeling kinetic spectrophotometric data of aminophenol isomers by PARAFAC2. Chemometrics and Intelligent Laboratory Systems, 55, 125-132. Abstract PDF
• Cullen, T. F., & Crouch, S. R. (1997).
  Multicomponent kinetic determinations using multivariate calibration techniques. Mikrochimica Acta, 126, 1-9. Abstract PDF          

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