Three-Mode bibliography, Part K

INDEX

• Kapteyn, A., Neudecker, H., & Wansbeek, T. (1986).
  An approach to n-mode components analysis. Psychometrika, 51, 269-275. Abstract PDF
• Karnas, G. (1975).
  Note sur une procédure d'analyse de données relatives à une correspondance ternaire ou pseudo-ternaire par la méthode d'analyse binaire de faverge. Le Travail Humain, 38, 287-299. Abstract
• Karukstis, K. K., Suljak, S. W., Waller, P. J., Whiles, J. A., & Thompson, E. H. Z. (1996).
  Fluorescence analysis of single and mixed micelle systems of SDS and DTAB. Journal of Physical Chemistry, 100, 11125-11132. Abstract PDF
• Kashiwagi, S. (1969).
  An application of a revised "points of view" procedure to the analysis of the learning process in T-group (in Japanese, English abstract). The Japanese Journal of Psychology, 40, 1-11. Abstract (not yet available)
         
• Keesing, O. (1992).
  Introducing a dynamic component into strategic planning instruments via multi-mode analysis models. In H. Goebl & M. Schader, Data analysis, classification and information processing: Methods and applications in various disciplines (pp. 217-229). Vienna: Physika. Abstract (not yet available)
• Kelly, E. F., Lenz, J. E., Franaszczuk, P. J., & Truong, Y. K. (1997).
  A general statistical framework for frequency-domain analysis of EEG topographic structure. Computers and Biomedical Research, 30, 129-164. Abstract PDF
• Keramidas, E. M., Devlin, S. J., & Gnanadesikan, R. (1987).
  A graphical procedure for comparing the principal components of several covariance matrices. Communications in Statistics, Part B - Simulation and Computation, 16, 161-191. Abstract
• Kettenring, J. R. (1971).
  Canonical analysis of several sets of variables. Biometrika, 58, 433-460. Photo Abstract PDF
• Kettenring, J. R. (1983a).
  A case study in data analysis. Proceedings of Symposia in Applied Mathematics, 28, 105-139. Abstract
• Kettenring, J. R. (1983b).
  Components of interaction in analysis of variance models with no replications. In P. K. Sen (Ed.), Contributions to Statistics: Essays in Honour of Norman L. Johnson (pp. 283-297). Amsterdam: North-Holland. Abstract
         
• Kiers, H. A. L. (1988).
  Comparison of "Anglo-Saxon" and "French" three-mode methods. Statistique et Analyse des Données, 13, 14-32. Photo Abstract
• Kiers, H. A. L. (1989a).
  INDSCAL for the analysis of categorical data. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 155-167). Amsterdam: Elsevier. Abstract
• Kiers, H. A. L. (1989b).
  Three-way methods for the analysis of qualitative and quantitative two-way data. Leiden: DSWO Press. Contents (not yet available)
• Kiers, H. A. L. (1989c).
  An alternating least squares algorithm for fitting the two- and three-way DEDICOM model and the IDIOSCAL model. Psychometrika, 54, 515-521. Abstract PDF
• Kiers, H. A. L. (1989d).
  A computational short-cut for INDSCAL with orthonormality constraints on positive semi-definite matrices of low rank. Computational Statistics Quarterly, 5, 119-135. Abstract
• Kiers, H. A. L. (1990a).
  Procrustes-PC v2.0: Een programma voor gegeneraliseerde Procrustes-analyse [Procrustes-PC v2.0: A program for generalized Procrustes-analysis]. Kwantitatieve Methoden, 11, 177-188. Abstract
• Kiers, H. A. L. (1990b).
  SCA: A program for simultaneous components analysis of variables measured in two or more populations. User's Manual, Department of Psychology University of Groningen, Groningen The Netherlands. Abstract (not yet available)
• Kiers, H. A. L. (1991a).
  Hierarchical relations among three-way methods. Psychometrika, 56, 449-470. Abstract PDF
• Kiers, H. A. L. (1991b).
  Simple structure in component analysis techniques for mixtures of qualitative and quantitative variables. Psychometrika, 56, 197-212. Abstract PDF
• Kiers, H. A. L. (1992).
  TUCKALS core rotations and constrained TUCKALS modelling. Statistica Applicata, 4, 659-667. Abstract
• Kiers, H. A. L. (1993a).
  An alternating least squares algorithm for PARAFAC2 and three-way DEDICOM. Computational Statistics & Data Analysis, 16, 103-118. Abstract PDF
• Kiers, H. A. L. (1993b).
  A comparison of techniques for finding components with simple structure. In C. M. Cuadras & C. R. Rao (Eds.), Multivariate analysis: Future directions Vol. 2 (pp. 67-86). Amsterdam: Elsevier. Abstract
• Kiers, H. A. L. (1993c).
  Handling ordinal variables in three-way analysis of quantification matrices for variables of mixed measurement levels. British Journal of Mathematical and Statistical Psychology, 46, 135-152. Abstract
• Kiers, H. A. L. (1993d).
  The exploratory analysis of qualitative variables by means of three-way analysis of two types of quantification matrices. Applied Stochastic Models and Data Analysis, 9, 301-317. Abstract
• Kiers, H. A. L. (1995).
  Maximization of sums of quotients of quadratic-forms and some generalizations. Psychometrika, 60, 221-245. Abstract PDF
• Kiers, H. A. L. (1997a).
  A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models. Journal of Classification, 14, 297-310. Abstract
• Kiers, H. A. L. (1997b).
  Three-mode orthomax rotation. Pychometrika, 62, 579-598. Abstract PDF
• Kiers, H. A. L. (1997c).
  Weighted least squares fitting using ordinary least squares algorithms. Psychometrika, 62, 251-266. Abstract PDF
• Kiers, H. A. L. (1997d).
  Discrimination by means of components that are orthogonal in the data space. Jounal of Chemometrics, 11, 533-545. Abstract PDF
• Kiers, H. A. L. (1998a).
  Recent developments in three-mode factor analysis: Constrained three-mode factor analysis and core rotations. In C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.-H. Bock, & Y. Baba (Eds.), Data Science, Classification, and Related Methods (pp. 563-574). Tokyo: Springer. Abstract
• Kiers, H. A. L. (1998b)
  An overview of three-way analysis and some recent developments. In A. Rizzi, M. Vichi & H.-H. Bock (Eds.), Advances in data science and classification (pp. 593-602). Berlin: Springer. Abstract
• Kiers, H. A. L.(1998c).
  A three-step algorithm for CANDECOMP/PARAFAC analysis of large data sets with multicollinearity. Journal of Chemometrics, 12, 155-171. Abstract PDF
• Kiers, H. A. L.(1998d).
  Joint orthomax rotation of the core and component matrices resulting from three-mode principal components analysis. Journal of Classification, 15, 245-263. Abstract PDF
• Kiers, H. A. L.(1998e).
  Three-way SIMPLIMAX for oblique rotation of the three-mode factor analysis core to simple structure. Computational Statistics & Data Analysis, 28, 307-324. Abstract PDF
• Kiers, H. A. L. (2000a).
  Some procedures for displaying results from three-way methods. Journal of Chemometrics, 14, 151-170. Abstract PDF
• Kiers, H. A. L. (2000b).
  Towards a standardized notation and terminology in multiway analysis. Journal of Chemometrics, 14, 105-122. Abstract PDF
• Kiers, H. A. L. (2004).
  Bootstrap confidence intervals for three-way methods. Journal of Chemometrics, 18, 22-36. Abstract PDF
• Kiers, H. A. L., Cléroux, R., & Ten Berge, J. M. F. (1994).
  Generalized canonical-analysis based on optimizing matrix correlations and a relation with IDIOSCAL. Computational Statistics and Data Analysis, 18, 331-340. Abstract PDF
• Kiers, H. A. L., & Kinderen, A. D. (2003).
  A fast method for choosing the numbers of components in Tucker3 analysis. British Journal of Mathematical and Statistical Psychology, 56, 119-125. Abstract PDF
• Kiers, H. A. L., & Harshman, R. A. (1997).
  Relating two proposed methods for speedup of algorithms for fitting two- and three-way principal component and related multilinear models. Chemometrics and Intelligent Laboratory Systems, 36, 31-40. Abstract PDF
• Kiers, H. A. L., & Krijnen, W. P. (1991c).
  An efficient algorithm for PARAFAC of three-way data with large numbers of observation units. Psychometrika, 56, 147-152. Abstract PDF
• Kiers, H. A. L., Kroonenberg, P. M., & Ten Berge, J. M. F. (1992b).
  An efficient algorithm for TUCKALS3 on data with large numbers of observation units. Psychometrika, 57, 415-422. Abstract PDF
• Kiers, H. A. L., & Marchetti, G. M. (1994).
  Handling large numbers of observation units in three-way methods for the analysis of qualitative and quantitative two-way data. Computational Statistics, 9, 41-64. Abstract
• Kiers, H. A. L., & Smilde, A. K. (1995).
  Some theoretical results on second-order calibration methods for data with and without rank overlap. Journal of Chemometrics, 9, 179-195. Abstract
• Kiers, H. A. L., & Smilde, A. K. (1998).
  Constrained three-mode factor analysis as a tool for parameter estimation with second-order instrumental data. Journal of Chemometrics, 12, 125-147. Abstract PDF
• Kiers, H. A. L., & Ten Berge, J. M. F. (1989e).
  Alternating least squares algorithms for simultaneous components analysis with equal component weight matrices in two or more populations. Psychometrika, 54, 467-473. Abstract PDF
• Kiers, H. A. L., & Ten Berge, J. M. F. (1990).
  An orthogonal Procrustes rotation procedure for multiple correspondence analysis. In K. Momirovic & V. Mildner (Eds.), Compstat 1990 (pp. 163-168). Vienna: Physica. [No abstract present]
• Kiers, H. A. L., & Ten Berge, J. M. F. (1994).
  Hierarchical relations between methods for simultaneous component analysis and a technique for rotation to a simple simultaneous structure. British Journal of Mathematical and Statistical Psychology, 47, 109--126. Abstract (not yet available)
• Kiers, H. A. L., Ten Berge, J. M. F., & Bro, R. (1999).
  PARAFAC2 - Part I. A direct fitting algorithm for the PARAFAC2 model. Journal of Chemometrics, 13, 275-294. Abstract PDF
• Kiers H. A. L., Ten Berge, J. M. F., & Rocci, R. (1997).
  Uniqueness of three-mode factor models with sparse cores: The 3×3×3 case. Psychometrika, 62, 349-374. Abstract PDF
• Kiers, H. A. L., & Van Mechelen, I. (2001).
  Three-way component analysis: Principles and illustrative application. Psychological Methods, 6, 84-110. Abstract PDF
• Kim, M. G. (1991).
  Models for the covariance matrices of several groups. PhD. Dissertation, Ohio State University, Columbus OH. [No abstract present.]
   
• Kjerulff, K. & Wiggins, N. H. (1976).
  Graduate student styles for coping with stressful situations. Journal of Educational Psychology, 68, 247-254. Abstract PDF
     
• Klauer, K. C.(1995).
  Review of Krijnen's "The analysis of three-way arrays by constrained PARAFAC methods". Journal of Classification, 12, 147-149. [No abstract present.]  PDF [Reviewed book]
• Klauer, K. C., & Carroll, J. D. (1995).
  Network models for scaling proximity 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. 319-342). Mahwah, NJ: Erlbaum. Abstract
     
• Knobloch, E. M. (1972).
  Einschätzung von leistungsrelevanten Begriffen. Unpublished master thesis, University of Hamburg, Hamburg Germany. Abstract
   
• Kofides, E., & Regalia, P. A. (2002).
  On the best rank-1 approximation of higher-order supersymmetric tensors. Siam Journal of Matrix Analysis and Applications, 23, 863-884. Abstract PDF
• Kolda, T. G. (2001).
  Orthogonal tensor decompositions. Siam Journal of Matrix Analysis and Applications, 23, 243-255. Abstract PDF
• Kolda, T. G. (2003).
  A couterexample to the possibility of an extension of the eckart-young low-rank approximation theorem for the orthogonal rank tensor decomposition. Siam Journal of Matrix Analysis and Applications,24, 762-767. Abstract PDF
• Korzhnev, D. M., Ibraghimov, I. V., Billeter, M., & Orekhov, V. Y. (2001).
  MUNIN: Application of three-way decomposition to the analysis of heteronuclear NMR relaxation data. Journal of Biomolecular NMR,21, 263-268. Abstract PDF
• Kosanovich, K. A., Dahl, K. S., & Piovoso, M. J. (1996).
  Improved process understanding using multiway principal component analysis. Industrial & Engineering Chemistry Research, 35, 138-146. Abstract PDF
• Kourti, T., & MacGregor, J. F. (1995).
  Process analysis, monitoring and diagnosis, using multivariate projection methods. Chemometrics and Intelligent Laboratory Systems, 28, 3-21. Abstract PDF
• Kourti, T., Nomikos, P., & MacGregor, J. F. (1995).
  Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS. Journal of Process Control, 5, 277-284. Abstract PDF
       
• Kratochwill, T. R. (1985).
  Selection of target behaviors in behavioral consultation. Behavioral Assessment, 16, 643-666. Abstract (not yet available)
• Kreiman, J., & Gerratt, B. R. (1996).
  The perceptual structure of pathologic voice quality. Journal of the Acoustical Society of America, 100, 1787-1795. Abstract
   
• Krijnen, W. P. (1993).
  The analysis of three-way arrays by constrained PARAFAC methods. Leiden: DSWO Press. Photo Abstract [Review by Franc, 1998] [Review by Klauer, 1995]
• Krijnen, W. P. (1993).
  Non-contrast components according to the PARAFAC model. In R. Steyer, K. F. Wender, & K. F. Widaman (Eds.), Psychometric Methodology. Proceedings of the 7th European Meeting of the Psychometric Society in Trier (pp. 237-241). Stuttgart and New York: Gustav Fischer Verlag. Abstract
• Krijnen, W. P., & Kiers, H. A. L. (1993).
  Clustered variables in PARAFAC. In J. H. L. Oud & R. A. W. van Blokland-Vogelesang (Eds.), Advances in longitudinal and multivariate analysis in the behavioral sciences: Proceedings of the SMABS 1992 conference (pp. 165-177). Nijmegen: ITS. Abstract
• Krijnen, W. P., & Kiers, H. A. L. (1995).
  An efficient algorithm for weighted PCA. Computational Statistics, 10, 299-306. Abstract
• Krijnen, W. P., & Ten Berge, J. M. F. (1991).
  Contrastvrije oplossingen van het CANDECOMP/PARAFAC-model [Contrast-free solutions of the CANDECOMP/PARAFAC-model]. Kwantitatieve Methoden, 12, 87-96. Abstract
• Krijnen, W. P., & Ten Berge, J. M. F. (1992).
  A constrained PARAFAC method for positive manifold data. Applied Psychological Measurement, 16, 295-305. Abstract
   
• Krolak-Schwerdt, S. (1991a).
  Modelle der dreimodalen Faktorenanalyse. Frankfurt am Main: Peter Lang. Photo Contents
• Krolak-Schwerdt, S. (1991b).
  Modelle der dreimodalen Faktorenanalyse: Formale Eigenschaften, theoretische Zusammenhänge und ihre Implikationen für das Konzept individueller Differenzen. Psychologische Beiträge, 33, 314-346. Abstract
• Krolak-Schwerdt, S., & Kohler, A. (1989).
  Relations between models for three-way factor analysis and multidimensional scaling. In O. Opitz (Ed.), Conceptual and numerical analysis of data (pp. 147-158). Berlin: Springer. [No abstract present.]
• Krolak-Schwerdt, S., Orlik, P., & Ganter, B. (1994).
  TRIPAT: A model for analyzing three-mode binary data. In H. H. Bock, W. Lenski, & M. M. Richter (Eds.), Information systems and data analysis: Prospects-foundations-applications (pp. 298-307). Berlin: Springer. Abstract
• Kroonenberg, P. M. (1982).
  TUCKALS3: A program for three-mode principal component analysis. Kwantitatieve Methoden, 3, 65-94. Photo Abstract
• Kroonenberg, P. M. (1983a).
  Annotated bibliography of three-mode factor analysis. British Journal of Mathematical and Statistical Psychology, 36, 81-113. Abstract
• Kroonenberg, P. M. (1983b).
  Correlational structure of the subtests of the Snijders-Oomen non-verbal intelligence scale. Kwantitatieve Methoden, 4, 40-51. Abstract
• Kroonenberg, P. M. (1983c).
  Three-mode principal component analysis: Theory and applications (Errata, 1989; available from the author). Leiden: DSWO Press. Contents [Review by Harshman, 1985]
• Kroonenberg, P. M. (1984a).
  Centring three-mode data: Views, problems, and queries. A discussion with Harshman and Lundy. WEP Reeks No. WR 84-54-IN, Department of Education Leiden University, Leiden The Netherlands. Abstract
• Kroonenberg, P. M. (1984b).
  Three-mode principal component analysis: Illustrated with an example from attachment theory. In H. G. Law, C. W. Snyder Jr, J. A. Hattie & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 64-103). New York: Praeger. Abstract
• Kroonenberg, P. M. (1985).
  Three-mode principle components analysis of semantic differential data: The case of a triple personality. Applied Psychological Measurement, 9, 83-94. Abstract
• Kroonenberg, P. M. (1986).
  The three-mode world. WEP Reeks No. WR 86-01-LE, Department of Education Leiden University, Leiden The Netherlands. Abstract
• Kroonenberg, P. M. (1987a).
  Multivariate and longitudinal data on growing children: Introduction to the proposed solutions. In J. Janssen, F. Marcotorchino, & J. M. Proth (Eds.), Data analysis. The ins and outs of solving real problems (pp. 7-11). New York: Plenum. [No abstract present.]
• Kroonenberg, P. M. (1987b).
  Multivariate and longitudinal data on growing children. Solutions using a three-mode principal component analysis and some comparison results with other approaches. In J. Janssen, F. Marcotorchino, & J. M. Proth (Eds.), Data analysis. The ins and outs of solving real problems (pp. 89-112). New York: Plenum. [No abstract present.]
• Kroonenberg, P. M. (1988a).
  Three-mode analysis. In S. Kotz & N. L. Johnson (Eds.), Encyclopedia of statistical sciences. Vol. 9 (pp. 231-236). New York: Wiley. [No abstract present.]
• Kroonenberg, P. M. (1988b).
  TUCKALS2. Three-mode principal component analysis with extended core matrix. In A. di Ciaccio & G. Bove (Eds.), Multiway '88. Software guide (pp. 93-103). Rome, Italy: Università di Roma "La Sapienza". Abstract
• Kroonenberg, P. M. (1988c).
  TUCKALS3. Three-mode principal component analysis. In A. di Ciaccio & G. Bove (Eds.), Multiway '88. Software guide (pp. 105-114). Rome, Italy: Università di Roma "La Sapienza". Abstract
• Kroonenberg, P. M. (1989a).
  Aspects of genotype-environment interactions for several attributes. Paper presented at the 6th European Meeting of the Psychometric Society Place unknown, 17-19 July. [No abstract present]
• Kroonenberg, P. M. (1989b).
  Singular value decompositions of interactions in three-way contingency tables. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 169-184). Amsterdam: Elsevier. Abstract
• Kroonenberg, P. M. (1989c).
  The analysis of multiple tables in factorial ecology. III. Three-mode principal component analysis: "Analyse triadique complète". Acta Oecologica. Oecologica Generalis, 10, 245-256. Abstract
• Kroonenberg, P. M. (1990a).
  Review of Borg and Lingoes' "Multidimensional similarity structure analysis". Psychometrika, 55, 169-172. [No abstract present] PDF [Reviewed book]
• Kroonenberg, P. M. (1990b).
  Three-mode analysis by example. In Metodoloxía da Investigacíon Científica (pp. 105-126). Santiago de Compostela, Spain: Servicio de Publicacíons e Intercambio Científico, Universidade de Santiago de Compostella. Abstract
• Kroonenberg, P. M. (1992a).
  PARAFAC in three-way land. Comment on the paper "Multilinear models: Applications in spectroscopy". Statistical Science, 7, 312-314. Abstract [Paper] PDF
• Kroonenberg, P. M. (1992b).
  Three-mode component models: A survey of the literature. Statistica Applicata, 4, 619-633. Abstract
• Kroonenberg, P. M. (1993).
  Three-way methods for multivariable-multioccasion matrices. Paper presented at the 8th European Meeting of the Psychometric Society Barcelona, Spain, July. Abstract
• Kroonenberg, P. M. (1994).
  The TUCKALS line: A suite of programs for three-way data analysis. Computational Statistics & Data Analysis, 18, 73-96. Abstract PDF
• Kroonenberg, P. M. (1995).
  Introduction to biplots for G×E tables. Research report No. 51, Centre for Statistics University of Queensland, Brisbane Australia. Abstract
• Kroonenberg, P. M. (1996a).
  3WAYPACK Menu Structure. Technical report+software, Leiden Institute of Education and Child Studies Leiden University, Leiden The Netherlands. Abstract
• Kroonenberg, P. M. (1996b).
  3WAYPACK User's manual: A package of three-way programs. Technical report+software, Leiden Institute of Education and Child Studies Leiden University, Leiden The Netherlands. Abstract
• Kroonenberg, P. M. (1997b).
  Recent developments in three-way data analysis: A showcase of methods and examples. In R. Klar & O. Opitz (Eds.), Classification and Knowledge Organization (pp. 44-62). Berlin: Springer. Abstract
• Kroonenberg, P. M. (1998).
  Studying the diffusion of three-mode analysis in chemistry: Design considerations. In A. Rizzi, M. Vichi & H.-H. Bock (Eds.), Advances in data science and classification (pp. 603-611). Berlin: Springer. Abstract
• Kroonenberg, P. M. (2001).
  Three-mode correspondence analysis: An illustrated exposé. In Actes des XXXIIIèmes Journée de Statistique (pp. 101-108). Nantes, France: 14-18 May. Abstract
• Kroonenberg, P. M., & Anderson C. J. (2006).
  Additive and multiplicative models for three-way contingency tables: Darroch (1974) revisited. In: M. Greenacre and J. Blasius (Eds.), Multiple correspondence analysis and related measures. Boca Raton, FL., USA: Chapman & Hall, CRC, 2006, 455-486. Abstract (not available) Full text PDF
• Kroonenberg, P. M., & Basford, K. E. (1989).
  An investigation of multi-attribute genotype response across environments using three-mode principal component analysis. Euphytica, 44, 109-123. Abstract PDF
• Kroonenberg, P. M., & Basford, K. E. (2002).
  Applied Three-mode data analysis. Chapter: Three-mode clustering. Research Report No. 104, Centre of Statistics University of Queensland, Brisbane Australia. Abstract
• Kroonenberg, P. M., Basford, K. E., & Ebskamp, A. G. M. (1995a).
  Three-way cluster and component analysis of maize variety trials. Euphytica, 84, 31-42. Abstract PDF
• Kroonenberg, P. M., Basford, K. E., & Van Dam, M. (1995b).
  Classifying infants in the Strange Situation with three-way mixture method clustering. British Journal of Psychology, 86, 397-418. Abstract PDF
• Kroonenberg, P. M., & De Leeuw, J. (1977).
  TUCKALS2: A principal component analysis of three mode data. Research Bulletin No. RB 001-'77, Department of Data Theory Leiden University, Leiden The Netherlands. Abstract
• Kroonenberg, P., & De Leeuw, J. (1978).
  TUCKALS2: Een hoofdassenanalyse voor drieweggegevens [TUCKALS2: A principal component analysis for three-mode data]. Methoden en Data Nieuwsbrief, 3, 30-53. Abstract
• Kroonenberg, P. M., & De Leeuw, J. (1980).
  Principal component analysis of three-mode data by means of alternating least squares algorithms. Psychometrika, 45, 69-97. Abstract PDF
• Kroonenberg, P. M., Dunn III, W. J., & Commandeur, J. J. F. (2003).
  Consensus molecular alignment based on generalized Procrustes analysis. Journal of Chemical Information and Computer Science, 45, 69-97. Abstract PDF
• Kroonenberg, P. M., & Heiser, W. J. (1998).
  Parallel factor analysis with constraints on the configurations: An overview. In C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.-H. Bock, & Y. Baba (Eds.), Data Science, Classification, and Related Methods (pp. 587-597). Tokyo: Springer. Abstract
• Kroonenberg, P. M., & Kashima, Y. (1997).
  Rules in context. A three-mode principal component analysis of Mann et al.'s data on cross-cultural differences in respect for others. Journal of Cross-Cultural Psychology, 28, 463-480. Abstract
• Kroonenberg, P. M., Lammers, C. J., & Stoop, I. (1985).
  Three-mode principal component analysis of multivariate longitudinal organizational data. Sociological Methods & Research, 14, 99-136. Abstract
• Kroonenberg, P. M., & Miyano, H. (1986).
  Tucker2 moderuniyoru tahenryô jikeiretu dêta no kaiseki - takaku seityô dêta [Analysis of multivariate longitudinal data by the Tucker2 model - growth curves data]. Bulletin of Industrial Products Research Institute, 105, 1-7. Abstract
• Kroonenberg, P. M. & Miyano, H. (1996c).
  Three-way data analysis and its recent developments (in Japanese). Japanese Psychological Review, 39, 386-407. Abstract
• Kroonenberg, P. M., Murakami, T., & Coebergh, J. W. W. (2002).
  Added value of three-way methods for the analysis of mortality trends illustrated with worldwide female cancer mortality (1968-1985). Statistical Methods in Medical Research, 11, 275-292. Abstract PDF
• Kroonenberg, P. M. & Oort, F. J. (2003).
  Three-mode analysis of multimode covariance matrices. British Journal of Mathematical & Statistical Psychology, 56, 305-335. Abstract PDF
• Kroonenberg, P. M., & Snyder Jr, C. W. (1989).
  Individual differences in assimilation resistance and affective responses in problem solving. Multivariate Behavioral Research, 24, 257-284. Abstract PDF
• Kroonenberg, P. M., & Ten Berge, J. M. F. (1987).
  Cross-validation of the WISC-R factorial structure using three-mode principal components analysis and perfect congruence analysis. Applied Psychological Measurement, 11, 195-210. Abstract
• Kroonenberg, P. M., & Ten Berge, J. M. F. (1989).
  Three-mode principal component analysis and perfect congruence analysis for sets of covariance matrices. British Journal of Mathematical and Statistical Psychology, 42, 63-80. Abstract
• Kroonenberg, P. M., Ten Berge, J. M. F., Brouwer, P., & Kiers, H. A. L. (1989).
  Gram-Schmidt versus Bauer-Rutishauser in alternating least-squares algorithms for three-mode principal component analysis. Computational Statistics Quarterly, 5, 81-87. Abstract
• Kroonenberg, P. M., & Van der Kloot, W. A. (1984).
  Review of "Introduction to multidimensional scaling: Theory, methods, and applications.". Nederlands Tijdschrift voor de Psychologie, 39, 56-58. [No abstract present] [Book]
• Kroonenberg, P. M., & Van der Kloot, W. A. (1987).
  Three-mode reduced-rank and redundancy analysis. Paper presented at the 5th Meeting of the Psychometric Society Twente, The Netherlands, July. Abstract (not yet available)
• Kroonenberg, P. M., & Van der Voort, T. H. A. (1987).
  Multiplicatieve decompositie van interacties bij oordelen over de werkelijkheidswaarde van televisiefilms [Multiplicative decomposition of interactions for judgements of realism of television films]. Kwantitatieve Methoden, 8, 117-144. Abstract
• Kroonenberg, P. M., & Van IJzendoorn, M. H. (1987).
  Exploring children's behavior in the Strange Situation. In L. W. C. Tavecchio, & M. H. van IJzendoorn (Eds.), Attachment in social networks: Contributions to the Bowlby-Ainsworth attachment theory (pp. 379 -425). Amsterdam: North Holland. Abstract
   
• Kruskal, J. B. (1976).
  More factors than subjects, tests and treatments: An indeterminacy theorem for canonical decomposition and individual differences scaling. Psychometrika, 41, 281-293. Photo Abstract PDF
• Kruskal, J. B. (1977).
  Three-way arrays: Rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics (Corrections, 17-1-1984; full text PDF with corrections). Linear Algebra and Its Applications, 18, 95-138. Abstract [(Corrections also available from The Three-Mode Company)
• Kruskal, J. B. (1981).
  Multilinear models for data analysis. Behaviormetrika, 10, 1-20. Abstract
• Kruskal, J. B. (1983a).
  Multilinear methods. Proceedings of Symposia in Applied Mathematics, 28, 75-104. Abstract
• Kruskal, J. B. (1983b).
  Statement of some current results about three-way arrays. Informal notes, Place unknown, Month unknown Abstract  |  fulltext PDF
• Kruskal, J. B. (1984).
  Multilinear methods. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 36-62). New York: Praeger. Abstract (not yet available)
• Kruskal, J. B. (1985).
  Rank of N-way arrays and the geometry of 2×2×2 arrays. Technical Memorandum, AT&T Bell Laboratories, Murray Hill NJ. Abstract |  fulltext PDF
• Kruskal, J. B. (1989).
  Rank, decomposition, and uniqueness for 3-way and N-way arrays. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 7-18). Amsterdam: Elsevier. Abstract
• Kruskal, J. B., Harshman, R. A., & Lundy, M. E. (1983).
  Some relationships between Tucker's three-mode factor analysis and PARAFAC/CANDECOMP. Paper presented at the Annual Meeting of the Psychometric Society Los Angeles CA, Month unknown. ** Abstract (not yet available)
• Kruskal, J. B., Harshman, R. A., & Lundy, M. E. (1985).
  Several mathematical relationships between PARAFAC-CANDECOMP and 3-mode factor analysis. Paper presented at the Annual Meeting of the Classification Society St John, Newfoundland, Canada, Month unknown. Abstract [Published as Kruskal, Harshman & Lundy, 1989].
• Kruskal, J. B., Harshman, R. A., & Lundy, M. E. (1989).
  How 3-MFA data can cause degenerate PARAFAC solutions, among other relationships. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 115-122). Amsterdam: Elsevier. Abstract
   
• Krzanowski, W. J. (1979).
  Between-groups comparison of principal components. Journal of the American Statistical Association, 74, 703-707. Abstract PDF
• Krzanowski, W. J. (1984).
  Principal Component Analysis in the Presence of Group Structure. Applied Statistics, 33, 164-168. Abstract PDF
• Krzanowski, W. J. (1990).
  Between-group analysis with heterogeneous covariance matrices: The common principal component model. Journal of Classification, 7, 81-98. Abstract PDF
       
• Kubista, M., Ismail, I. H., Forootan, A., & Sjogren, B. (2004).
  Determination of protolytic constants by trilinear fluorescence spectroscopy. Journal of Fluorescene,14, 139-144. Abstract
• Kumar, A. & Dillon, W. R. (1992).
  An integrative look at the use of additive and multiplicative covariance structure models in the analysis of MTMM data. Journal of Marketing Research,29, 51-64. Abstract PDF
• Kunert, J., & Qannari, E. M. (1999).
  A simple alternative to generalized procrustes analysis: Application to sensory profiling data. Journal of Sensory Studies,14, 197-208. Abstract
• Kuriyama, H., Inukai, Y., Miyano, H., Taya, H., Nagamura, N., & Kodama, H. (1987).
  Psycho-physiological measurement of combined effects of infrasound and audible noise. The Controling of Noise, 89, 1-16. Abstract (not yet available) ( ) [In Japanese]
• Kuze, T., Goto, M., Ninomiya, K., Asano, K., Miyazawa, S., Munekata, H., Ohno, H., & Uchiyama, I. (1985).
  A longitudinal study on development of adolescents' social attitudes. Japanese Psychological Research, 27, 195-205. Abstract  
• Kvaal, K., Wold, J. P., Indahl, U. G., Baardseth, P., & Naes, T. (1998).
  Multivariate feature extraction from textural images of bread. Chemomectrics and Intelligent Laboratory Systems, 42, 141-158. Abstract PDF        

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