Three-Mode bibliography, Part M

• Ma, B., Gemperline, P. J., Cash, E., Bosserman, M., & Comas, E. (2003).
  Characterizing batch reactions with in situ spectroscopic measurements, calorimetry and dynamic modeling. Journal of Chemometrics, 17, 470-479. Abstract PDF
• MacCallum, R. C. (1974a).
  A comparison of two individual differences models for multidimensional scaling: Carroll & Chang's INDSCAL and Tucker's three-mode factor analysis. Unpublished doctoral thesis, University of Illinois, Urbana IL. Photo Abstract
• MacCallum, R. C. (1974b).
  A comparison of two individual differences models for multidimensional scaling: Carroll & Chang's INDSCAL and Tucker's three-mode factor analysis. Dissertation Abstracts International, 35, 3619. Abstract
• MacCallum, R. C. (1976a).
  Effects on INDSCAL of non-orthogonal perceptions of object space dimensions. Psychometrika, 41, 177-188. Abstract PDF
• MacCallum, R. C. (1976b).
  Transformation of a three-mode multidimensional scaling solution to INDSCAL form. Psychometrika, 41, 385-400. Abstract PDF
• MacCallum, R. C. (1978).
  TRINFORM: A computer program to transform a three-mode multidimensional scaling solution to INDSCAL form. Applied Psychological Measurement, 2, 62. Abstract
• MacCallum, R. C. (1979).
  3-mode-MDS: A computer program to execute Tucker's three-mode multidimensional scaling. Applied Psychological Measurement, 3, 24. Abstract (not yet available)
• MacCallum, R. (1988).
  Multidimensional scaling. In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate experimental psychology (2nd edition) (pp. 421-445). New York: Plenum Press. Abstract (not yet available)
• MacGregor, J. F., & Kourti, T. (1995).
  Statistical process control of multivariate processes. Control Engineering Practice, 3, 403-414. Abstract PDF
• Maeda, S. (1992).
  Articulatory modeling of the vocal-tract. Journal de Physique IV, 2, 307-314.** Abstract
• Maeder, M., Neuhold, Y. M., Olsen, A., Puxty, G., Dyson, R., & Zilian, A. (2002).
  Rank annihilation correction for the amendment of instrumental inconsistencies. Analytica Chimica Acta, 464, 249-259. Abstract PDF
• Mager, P. P. (1996).
  A random number experiment to simulate resample model evaluations. Journal of Chemometrics, 10, 221-240. Abstract PDF
• Manne, R., Shen, H., & Liang, Y. (1999).
  Subwindow factor analysis. Chemometrics and Intelligent Laboratory Systems, 45, 171-176. Abstract PDF
• Mansurov, H. H., Muratov, F. H., & Timerkaev, V. S. (1986).
  Computational methods of the data-cube analysis in the chronic hepatic lesion research. Paper presented at COMPSTAT 86 Rome, Italy, 1-5 September. Abstract
• Marasinghe, M. G. & Boik, R. J. (1993).
  A three-degree of freedom test of additivity in three-way classifications. Computational Statistics & Data Analysis, 16, 47-61. Abstract PDF
• Marchand, B. (1984).
  Urban growth models revisited: Cities as self-organizing systems. Environment and Planning A, 16, 949-964. Abstract
• Marchetti, G. M. (1988).
  Three-way analysis of two-mode matrices of qualitative data. Research report No. 10, Department of Statistics Univeristy of Florence, Florence Italy. Abstract
• Marcos, A., Foulkes, M., & Hill, S. J. (2001).
  Application of a multi-way method to study long-term stability in ICP-AES. Journal of Analytical Atomic Spectrometry,16, 105-114. Abstract PDF
• Marengo, E., Leardi, R., Robotti, E., Righetti, P. G., Antonucci, F. & Cecconi, D. (2003).
  Application of three-way principal component analysis to the evaluation of two-dimensional maps in proteomics. Journal of Proteome Research, 2, 351-360. Abstract PDF
• Marsili, N. R., Lista, A., Band, B. S. F., Goicoechea, H. C., & Olivieri, A. C. (2004).
  New method for the determination of benzoic and sorbic acids in commercial orange juices based on second-order spectrophotometric data generated by a pH gradient flow injection technique. Journal of Agricultural and Food Chemistry, 52, 2479-2484. Abstract PDF
• Martens, H. (1980).
  On the calibration of a multivariate instrument for quantitative estimation of individual components in a mixture. In A. Höskuldsson, K. Conradsen, B. S. Jensen, & K. Esbensen (Eds.). Symposium I Anvendt Statistik [Symposium on Applied Statistics] (pp. 393-414). Lyngby, Denmark: Technical University of Denmark. Abstract [Obtainable from the author at Harald.Martens@chembio.ntnu.no]
• Martínez-Montes, E., Valdés-Sosa, P. A., Miwakeichi, F., Goldman, R. I., & Cohen, M. S. (2004).
  Concurrent EEG/fMRI analysis by multiway Partial Least Squares. NeuroImage, 22, 1023-1034. Abstract PDF
• Martins, J. A., Sena, M. M., Poppi, R. J. & Pessine, F. B. T. (1999).
  Fluorescence Piroxicam study in the presence of cyclodextrins by using the PARAFAC method. Applied Spectroscopy, 53, 510-522. Abstract
• Marsh, H. W., & Bailey, M. (1991).
  Confirmatory factor-analyses of multitrait-multimethod data - a comparison of alternative models. Applied Psychological Measurement, 15, 47-70. Abstract (not yet available)
• Mastandrea, S., Zani, A., Giuliani, M. V., & Bove, G. (1993).
  Meaning of industrial-design objects - from designers to users. Environment and Planning B-Planning & Design, 20, 307-319. Abstract
• Mayekawa, S. (1987).
  Maximum likelihood solution to the PARAFAC model. Behaviormetrika, 21, 45-63. Abstract
     
• McAdams, S., Winsberg, S., Donnadieu, S., De Soete, G., & Krimphoff, J. (1995).
  Perceptual scaling of synthesized musical timbres: Common dimensions, specificities, and latent subject classes. Psychological Research, 58, 177-192. Abstract PDF
• McArdle, J. J. (1984).
  On the madness in his method: R. B. Cattell's contributions to structural equation modeling. Multivariate Behavioral Research, 19, 245-267. Abstract PDF
• McArdle, J. J. & Cattell, R. B. (1994).
  Structural equation models of factorial invariance in parallel proportional profiles and oblique confactor problems. Multivariate Behavioral Research, 29, 63-113. Abstract PDF
• McCloskey, J., & Jackson, P. R. (1979).
  Three-mode: A FORTRAN IV program for three-mode factor analysis. Behavior Research Methods & Instrumentation, 11, 75-76. Abstract
• McDonald, R. P. (1969).
  A generalized common factor analysis based on residual covariance matrices of prescribed structure. The British Journal of Mathematical and Statistical Psychology, 22, 149-163. Photo Abstract
• McDonald, R. P. (1980).
  A simple comprehensive model for the analysis of covariance structures: Some remarks on applications. The British Journal of Mathematical and Statistical Psychology, 33, 161-183. Abstract (not yet available)**
• McDonald, R. P. (1984).
  The invariant factors model for multimode data. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 285-307). New York: Praeger. Abstract (not yet available)
• McLachlan, G. J., & Basford, K. E. (1988).
  Mixture models: Inference and applications to clustering. New York: Marcel Dekker. Photo Abstract (not yet available)
     
• Medina, R., Losada, M. A., Losada, I. J., & Vidal, C. (1994).
  Temporal and spatial relationship between sediment grain-size and beach profile. Marine Geology, 118, 195-206. Abstract PDF
• Mendieta, J., Díaz-Cruz, M. S., Esteban, M., & Tauler, R. (1998).
  Multivariate Curve Resolution: A Possible Tool in the Detection of Inermediate Structures in Protein Folding. Biophysical Journal, 74, 2876-28888. Abstract PDF
• Meijs, B. W. G. Ph. (1980).
  Huis van bewaring en subkultuur: Een empirische studie bij jeugdige gedetineerden naar het effect van '102 dagen' preventieve hechtenis op attituden en andere indikatoren van subkultuur [Detention centre and subculture: An empirical study with young detainees of the effect of '102 days' of preventative custody on attitudes and other indicators of subculture]. Unpublished masters thesis, Leiden University, Leiden The Netherlands. Abstract
• Meng, X., Morris, A. J. & Martin, E. B. (2003).
  On-line monitoring of batch processes using a PARAFAC representation. Journal of Chemometrics, 17, 65-81. Abstract PDF
• Meulders, M., De Boeck, P., Kuppens, P., & Van Mechelen, I. (2002).
  Constrained latent class analysis of three-way three-mode data. Journal of Classification, 19, 277-302. Abstract PDF
• Meulman, J. J. (1989).
  Distance analysis in reduced canonical spaces. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 233-244). Amsterdam: Elsevier. Photo Abstract
• Meulman, J. J., & Verboon, P. (1993).
  Points of view analysis revisited: Fitting multidimensional structures to optimal distance components with cluster restrictions on the variables. Psychometrika, 58, 7-35. Abstract PDF
• Meulman, J. J. (1998).
  Multivariate analysis, Part 1: Distributions, ordination, and inference. Journal of Classification, 15, 287-293. Abstract (not available) PDF
• Meuwese, W. (1970).
  Een vergelijking van twee methoden van beoordeling van verbale stimuli [A comprison of two methods of evaluation of verbal stimuli]. Nederlands Tijdschrift voor de Psychologie, 25, 594-603. Abstract
• Meyer, J. P. (1980).
  Causal attribution for succes and failure: A multivariate investigation of dimensionality, formation, and consequences. Journal of Personality and Social Psychology, 38, 704-718. Abstract PDF
• Meyer, P., Wilhelms, R., & Strube, H. W. (1989).
  A quasiarticulatory speech synthesizer for German language running in real-time. Journal of the Acoustical Society of America, 86, 523-539.** Abstract (not yet available)
• Meyners, M. (2001).
  Statistische Eigenschaften der STATIS-Methode -Propriétés statistiques de la méthode STATIS.[Statistical properties of the STATIS method]. Göttingen: Cuvilier. Abstract
  [Note: Also PhD thesis, University of Dortmund and University of Rennes II].
• Meyners, M., Kunert J., & Qannari, E. M. (2000).
  Comparing generalized procrustes analysis and statis. Food Quality and Preference, 11, 77-83 Abstract PDF
         
• Michailidis, G., & De Leeuw, J. (2000).
  Multilevel homogeneity analysis with differential weighting. Computational Statistics and Data Analysis, 32, 411-442. Abstract PDF
• Miettinen, T., Hurse, T. J., Connor, M. A., Reinikainen, S. P., & Minkkinen, P. (2004).
  Multivariate monitoring of a biological wastewater treatment process: A case study at Melbourne Water's Western Treatment Plant. Chemometrics and Intelligent Laboratory Systems, 73, 131-138. Abstract PDF
• Miller, K., & Gelman, R. (1983).
  The child's representation of number: A multidimensional scaling analysis. Child Development, 54, 1470-1479. Abstract
• Millican, D. W., & McGown, L. B. (1990).
  Fluorescence lifetime resolution of spectra in the frequency domain using multiway analysis. Analytical Chemistry, 62, 2242-2247. Abstract PDF
• Mills, D. H., & Tucker, L. R. (1966).
  A three-mode factor analysis of clinical judgment of schizophrenicity. Journal of Clinical Psychology, 2, 136-139. Abstract
• Millsap, R. E., & Meredith, W. (1991).
  Some mathematical relationships between three-mode component analysis and stationary component analysis. Multivariate Behavioral Research, 26, 413-419. Photo Abstract PDF
• Mirkin, B. G. (1987).
  Additive clustering and qualitative factor analysis methods for similarity matrices. Journal of Classification, 4, 7-31. Abstract PDF
• Mitchell, B. C. & Burdick, D. S. (1993).
  An empirical comparison of resolution methods for three-way arrays. Chemometrics and Intelligent Laboratory Systems, 20, 149-161. Photo Abstract PDF
• Mitchell, B. C., & Burdick, D. S. (1994).
  Slowly converging PARAFAC sequences: Swamps and two-factor degeneracies. Journal of Chemometrics, 8, 155-168. Abstract
• Miwakeichi, F., Martinez-Montes, E., Valdes-Sosa, P. A., Nishiyama, N., Mizuhara, H., & Yamaguchia, Y.(2004).
  Decomposing EEG data into space-time-frequency components using Parallel Factor Analysis. Neuroimage, 22, 1035-1045. Abstract PDF
• Miyano, H., & Inukai, Y. (1982).
  Sequential estimation in multidimensional scaling. Psychometrika, 47, 321-336. Photo Abstract PDF
• Miyano, H., & Inukai, Y. (1983).
  Measurement that is easily affected by psychological and conscious processes. Journal of Instrumentation and Control, 22, 30-36. Abstract (not yet available) ()
• Miyano, H. (1996).
  Three-way data analysis based on Tucker2 model: A method utilizing a priori information on some model parameters. Japanese Psychological Review, 39,429-438 (in Japanese with English abstract.). Abstract
• Mizère, D. (1981).
  Analyse d'un cube de données: Décomposition tensorielle et liens entre procédures de comparaison de tableaux rectangulaires de données [Analysis of a data cube: Tensorial decomposition and links with procedures to compare rectangular data matrices]. Unpublished doctoral thesis, Scientific and Medical University of Grenoble, Grenoble France. Abstract (not yet available)
• Mizère, D. (1984).
  L'Aspect choix de métrique dans l'analyse d'un cube de contingence. Afrika Matematika, 6, 49-68. Abstract
             
• Moberg, L., Robertsson, G., & Karlberg, B. (2001).
  Spectrofluorimetric determination of chlorophylls and pheopigments using parallel factor analysis. Talanta, 54, 161-170. Abstract PDF
• Moller, J. K. S., Parolari, G., Gabba, L., Christensen, J., & Skibsted, L. H. (2003).
  Monitoring chemical changes of dry-cured parma ham during processing by surface autofluorescence spectroscopy. Journal of Agricultural and Food Chemistry, 51, 1224-1230. Abstract PDF
• Möcks, J. (1988a).
  Decomposing event-related potentials: A new topographic components model. Biological Psychology, 26, 199-215. Photo Abstract PDF
• Möcks, J. (1988b).
  Topographic components model for event-related potentials and some biophysical considerations. IEEE Transactions on Biomedical Engineering, 35, 482-484. Abstract
• Montanelli, D. S. (1972).
  Multiple-cue learning in children. Developmental Psychology, 7, 302-312. Abstract PDF
• Montano, D., & Adamopoulos, J. (1984).
  The perception of crowding in interpersonal situations: Affective and behavioral responses. Environment and Behavior, 16, 643-666. Abstract PDF
• Mooijaart, A. (1992).
  Three-factor interaction models by log-trilinear terms in three-way contingency tables. Statistica Applicata, 4, 669-677. Photo Abstract
• Moreda-Pineiro, A., Marcos, A., Fisher, A., & Hill, S. J. (2001a).
  Chemometrics approaches for the study of systematic error in inductively coupled plasma atomic emission spectrometry and mass spectrometry. Journal of Analytical Atomic Spectrometry, 16, 350-359. Abstract PDF
• Moreda-Pineiro, A., Marcos, A., Fisher, A., & Hill, S. J. (2001b).
  Parallel factor analysis for the study of systematic error in inductively coupled plasma atomic emission spectrometry and mass spectrometry. Journal of Analytical Atomic Spectrometry, 16, 360-369. Abstract PDF
• Morais, H., Ramos, C., Forgács, E., Cserháti, T., Oliviera, J., & Illés, T. (2001).
  Three-dimensional principal component analysis employed for the study of the beta-glucosidase prodution of Lentinus edodes strains. Chemometrics and Intelligent Laboratory Systems, 57, 57-64. Abstract PDF
• Morais, H., Ramos, C., Forgács, E., Jakab, A., Cserháti, T., Oliviera, J., Illés, T. & Illés, Z. (2003).
  Comparison of principal analysis and the Tucker3 model - A case study. QSAR & Combinatorial Science, 22, 449-455. Abstract PDF
• Morais, H., Ramos, C., Forgacs, E., Jakab, A., & Cserhati, T. (2004).
  Enzyme production of Pleurotus ostreatus evaluated by the three-way principal component analysis. Engineering in Life Sciences, 4, 165-170. Abstract PDF
             
• Munck, L., Nørgaard, L., Engelsen, S. B., Bro, R., & Andersson, C. A. (1998).
  Chemometrics in food science - a demonstration of the feasibility of a highly exploratory, inductive evaluation strategy of fundamental scientific significance. Chemometrics and Intelligent Laboratory Systems, 44, 31-60. Abstract PDF
• Murakami, T. (1979).
  Inshi henka no kijutsu to jun3so inshi bunseki [Description of factor change and quasi three-mode factor analysis]. Bulletin of the Faculty of Education, Nagoya University, 26, 1-16. Photo Abstract
• Murakami, T. (1981).
  Saisho jijoho ni yoru jun3so inshi bunseki no algorithm [An algorithm of quasi three-mode factor analysis by the least squares methods]. Bulletin of the Faculty of Education, Nagoya University, 28, 39-59. Abstract
• Murakami, T. (1983a).
  3so data ni okeru inshi henka no kijutsu no tameno sho hoho [Methods for description of factor change in three-mode data (I): Factor analytical models]. Bulletin of the Faculty of Education, Nagoya University, 30, 145-176. Abstract
• Murakami, T. (1983b).
  Quasi three-mode principal component analysis - A method for assessing the factor change. Behaviormetrika, 14, 27-48. Abstract
• Murakami, T. (1985).
  Tashugo data no tameno tansakuteki inshi bunseki [Exploratory factor analysis of multiset data]. Bulletin of the Faculty of Education, Nagoya University, 32, 75-93. Abstract
• Murakami, T. (1989).
  Theory of psychological measurement and the concept of family resemblances (in Japanese, English abstract). Bulletin of the Faculty of Education, Nagoya University, 36, 149-156. Abstract (not yet available)
• Murakami, T. (1990).
  On the principal component analysis of multigroup, multiset, and multimode data (in Japanese). Kodokeiryugaku (Japanese Journal of Behaviormetrics), 18, 28-40. Abstract
• Murakami, T. (1991).
  Hierarchical principal component analysis of multiset-multigroup data (in Japanese). Bulletin of the Faculty of Education, Nagoya University, 38, 155-166. Abstract
• Murakami, T. (1996).
  Three-mode factor models and the concept of individual differences (in Japanese with English abstract). Japanese Psychological Review, 39, 408-428. Abstract
• Murakami, T. (1998).
  Tucker2 as a second-order principal component analysis. In C. Hayashi, N. Ohsumi, K. Yajima, Y. Tanaka, H.-H. Bock, & Y. Baba (Eds.), Data science, classification, and related methods (pp. 575-586). Tokyo: Springer. Abstract
• Murakami, T., Goto, M., & Tsujimoto, H. (1978).
  3so inshi bunseki no tekiyo jo no sho mondai [Some problems in the application of three-mode factor analysis]. Bulletin of the Faculty of Education, Nagoya University, 25, 19-39. Abstract (not yet available)
• Murakami, T. & Kroonenberg, P. M. (2001).
  Individual differences in semantic differential studies and their analysis by three-way models. Technical report, Department of Education Leiden Univeristy, Leiden The Netherlands. Abstract (not yet available)
• Murakami, T. & Kroonenberg, P. M. (2003).
  Three-mode models and individual differences in semantic differential data. Multivariate Behavioral Research, 38, 247-283. Abstract  PDF
• Murakami, T., Ten Berge, J. M. F., & Kiers, H. A. L. (1998).
  A case of extreme simplicity of the core matrix in three-mode principal components analysis. Psychometrika, 63, 255-261. Abstract PDF
• Murdoch, V. J., Snyder Jr, C. W., Law, H. G., Pamment, P. R., & Payne, P. V. (1985).
  Environmental evaluations of a "hard hat" residential area in rural Australia. Journal of Community Psychology, 13, 360-374. Abstract
• Muroski, A. R., Booksh, K. S., & Myrick, M. L. (1996).
  Single-measurement excitation/emission matrix spectrofluorometer for determination of hydrocarbons in ocean water. 1. Instrumentation and background correction. Analytical Chemistry, 68, 3534-3538. Abstract
• Muthén, B., Olsson, U., Pettersson, T., & Stahlberg, G. (1977).
  Measuring religious attitudes using the semantic differential technique: An application of three-mode factor analysis. Journal for the Scientific Study of Religion, 16, 275-288. Photo Abstract          

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