Three-Mode bibliography, Part H

• Haack, M. B., Eliasson, A. & Olsson, L. (2004).
  On-line cell mass monitoring of Saccharomyces cerevisiae cultivations by multi-wavelength fluorescence. Journal of Biotechnology, 114, 199-208. Abstract PDF
• Haan, N. (1981).
  Common dimensions of personality development: Early adolescence to middle life. In D. H. Eichorn, J. A. Clausen, N. Haan, M. P. Honzik, & P. H. Mussen. (Eds.), Present and past in middle life (pp. 117-151). New York: Academic Press. Abstract (not yet available)
• Haldna, U. L., Juga, R. J., Tuulmets, A. V., & Juriado, T. J. (1987).
  Influence of substituent on rate and equilibrium-constants by means of spectral-isolation factor analysis. Journal of the Chemical Society-Perkin Transactions, 2, 1559-1562. Abstract (not yet available)
• Halstensen, M., & Esbensen, K. (2000).
  New developments in acoustic chemometric prediction of particle sice distribution - 'the problem is the solution'. Journal of Chemometrics, 14, 463-481. Abstract PDF
• Hammers, W. E., Janssen, R. H. A. M., Baars, A. G., & De Ligny, C. L. (1978).
  Standardization and determination of the selectivity of octadecylsilylsilica in high-performance liquid chromatography. Journal of Chromatography, 167, 273-289. Abstract PDF
• Hammers, W. E., Spanjer, M. C., & De Ligny, C. L. (1979).
  Selectivity of nucleosil 10 NH₂ as an adsorbent in high-performance liquid chromatography. Journal of Chromatography, 174, 291-305. Abstract PDF
• Hanafi, M., & Lafosse, R. (2001).
  Généralisations de la régression simple pour analyser la dépendance de K ensembles de variables avec un K + 1ème. Revue Statistique Appliquée, 49, 5-30. Abstract
• Hanke, B., Lohmöller, J.-B., & Mandl, H. (1980).
  Schülerbeurteilung in der Grundschule: Ergebnisse der Augsburger Längsschnittuntersuchung [Evaluation of students at primary school: Results of the Ausburger longitudinal study]. München FRG: Oldenbourg Verlag. Abstract
• Hansen, P. W., Van Brakel, A. S., Garman, J., & Norgaard, L. (1999).
  Detection of specific sugars in dairy process samples using multivariate curve resolution. Journal of Dairy Science, 82, 1351-1360. Abstract
• Harch, B. D. (1995).
  Statistical evaluation of germplasm collections [Chapter 7: Analysis of three-way quantitative data]. Unpublished doctoral thesis, Department of Agriculture University of Queensland, Brisbane Australia. Abstract (not yet available)
• Harch, B. D., DeLacy, I. H., & Basford, K. E. (1995).
  Graphical display of variability in large scale multivariate data sets. Research report No. 30, Centre for Statistics University of Queensland, Brisbane Australia. Abstract (not yet available)
• Harris, M. L., & Romberg, T. A. (1974).
  An analysis of content and task dimensions of mathematics items designed to measure level of concept attainment. Journal for Research in Mathematics Education, 5, 72-86. Abstract
• Harshman, R. A. (1970).
  Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-modal factor analysis. UCLA Working Papers in Phonetics, 16, 1-84. Photo Abstract  PDF  
• Harshman, R. A. (1972a).
  Determination and proof of minimum uniqueness conditions for PARAFAC1. UCLA Working Papers in Phonetics, 22, 111-117. Abstract  PDF  
• Harshman, R. A. (1972b).
  PARAFAC2: Mathematical and technical notes. UCLA Working Papers in Phonetics, 22, 30-44. Abstract  PDF  
• Harshman, R. A. (1972c).
  PARAFAC: Parallel-factor models yielding mathematically unique, empirically meaningful solutions with certain classes of three-mode data. UCLA Working Papers in Phonetics, 22, 8-9. Abstract (not yet available)
• Harshman, R. A. (1976).
  PARAFAC: Methods of three-way factor analysis and multidimensional scaling according to the principle of proportional profiles. Unpublished doctoral thesis, University of California, Los Angeles CA. Abstract
• Harshman, R. A. (1976).
  PARAFAC: Methods of three-way factor analysis and multidimensional scaling according to the principle of proportional profiles. Dissertation Abstracts International, 37, 2478-2479. Abstract
• Harshman, R. A. (1984).
  "How can I know if it's 'real'?" A catalog of diagnostics for use with three-mode factor analysis and multidimensional scaling. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 566-591). New York: Praeger. Abstract (not yet available)  PDF  
• Harshman, R. A. (1985).
  Book review: Three-mode principal component analysis by Pieter M. Kroonenberg. Applied Psychological Measurement, 9, 327-332. [No abstract present] [Reviewed book]
• Harshman, R. A. (1994a).
  Substituting statistical for physical decomposition: Are there applications for parallel factor analysis (PARAFAC) in non-destructive evaluation? In P. V. Malague (Ed.), Advances in Signal Processing for Nondestructive Evaluation of Materials (pp. 469-483). Dordrecht: Kluwer. Abstract
• Harshman, R. A. (1994b).
  Three- and four-way factor analysis of brain scans, satellite photos, and other image data using both standard and novel multi-way models. Paper presented at the Meeting of the Psychometric Society. Urbana IL, 24-26 June. Abstract (not yet available)
• Harshman, R. A. (1999).
  Use of angle bracket notation to simplify expression of multilinear models. Research Bulletin No. 757, Department of Psychology University of Western Ontario, London Canada. Abstract
• Harshman, R. A. (2000).
  Generalization of matrix notation and algebra to n-way arrays. Research Bulletin No. 758, Department of Psychology University of Western Ontario, London Canada. Abstract
• Harshman, R. A. (2001).
  An index to formalism that generalizes the capabilities of matrix notation and algebra to n-way arrays. Journal of Chemometrics, 15, 689-714. Abstract PDF
• Harshman, R. A., & Berenbaum, S. A. (1981).
  Basic concepts underlying the PARAFAC-CANDECOMP three-way factor analysis model and its application to longitudinal data. In D. H. Eichorn, J. A. Clausen, N. Haan, M. P. Honzik, & P. H. Mussen (Eds.), Present and past in middle life (pp. 435-459). New York: Academic Press. Abstract   PDF
• Harshman, R. A., & DeSarbo, W. S. (1981).
  Connotative congruence analysis: An application of PARAFAC to the selection of appropriate spokesmen for given brand. Unpublished manuscript, Bell Laboratories and University of Western Ontario, London Canada. Abstract (not yet available)
• Harshman, R. A., & DeSarbo, W. S. (1984).
  An application of PARAFAC to a small sample problem, demonstrating preprocessing, orthogonality constraints, and split-half diagnostic techniques. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 602-642). New York: Praeger. Abstract   PDF
• Harshman, R. A., & Hong, S. (2002).
  'Stretch' vs. 'slice' methods for representing three-way structure via matrix notation. Journal of Chemometrics, 16, 198-205. Abstract PDF
• Harshman, R. A., Hong, S. J. & Lundy M. E.(2003).
  Shifted factor analysis - Part I: Models and properties. Journal of Chemometrics, 17, 363-378. Abstract PDF
• Harshman, R. A., & Howe, M. L. (1979).
  Systematic effects of noneuclidean input on the recovered subject and stimulus spaces in three-way MDS. Paper presented at the 1979 Annual Meeting of the Psychometric Society. Monterey CA, June 8-10. Abstract (not yet available)
• Harshman, R. A., & Kroonenberg, P. M. (1987).
  Overlooked solutions to Cattell's parallel proportional profiles problem: A perspective on three-mode data analysis. Internal Report, Department of Psychology University of Western Ontario, London Canada. Abstract (not yet available)
• Harshman, R. A., Ladefoged, P., & Goldstein, L. (1977).
  Factor analysis of tongue shapes. Journal of the Acoustical Society of America, 62, 693-707. Abstract PDF
• Harshman, R. A., & Lundy, M. E. (1984a).
  The PARAFAC model for three-way factor analysis and multidimensional scaling. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 122-215). New York: Praeger. Abstract PDF
• Harshman, R. A., & Lundy, M. E. (1984b).
  Data preprocessing and the extended PARAFAC model. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 216-284). New York: Praeger. Abstract   PDF
• Harshman, R. A., & Lundy, M. E. (1985b).
  The preprocessing controversy: An exchange of papers between Kroonenberg, Harshman and Lundy. Research Bulletin No. 631, Department of Psychology University of Western Ontario, London Canada. Abstract (not yet available)
• Harshman, R. A., & Lundy, M. E. (1994).
  PARAFAC: Parallel factor analysis. Computational Statistics & Data Analysis, 18, 39-72. Abstract   PDF
• Harshman, R. A., & Lundy, M. E. (1996).
  Uniqueness proof for a family of models sharing features of Tucker's three-mode factor analysis and PARAFAC-CANDECOMP. Psychometrika, 61, 133-154. Abstract   PDF
• Harshman, R. A., Lundy, M. E., & Kruskal, J. B. (1985).
  Comparison of trilinear and quadrilinear methods: Strengths, weaknesses, and degeneracies. Paper presented at the annual Meeting of the North American Classification Society. St. John's Newfoundland Canada, July. Abstract (not yet available)
• Harshman, R. A., & Papcun, G. (1976).
  Vowel normalization by linear transformation of each speaker's acoustic space. Journal of the Acoustical Society of America, 59, 71. Abstract (not yet available)
• Hart, S. J., & Jiji, R. D. (2002).
  Light emitting diode excitation emission matrix fluorescence spectroscopy. Analyst, 127, 1693-1699. Abstract PDF
• Hart, R. I. (1997).
  Lines and points in three views and the trifocal tensor. International Journal of Computer Vision, 22, 125-140. Abstract PDF
• Hartmann, W. (1986).
  Canonical decomposition with linear equality and inequality constraints on parameters. In W. Gaul & M. Schader (Eds.), Classification as a tool of research (pp. 191-199). Amsterdam: Elsevier. Abstract
• Harvey, D., & Greenway, P. (1982).
  How parent attitudes and emotional reactions affect their handicapped child's self-concept. Psychological Medicine, 12, 357-370. Abstract
• Hasegawa, K., Arakawa, M., & Funatsu, K. (1999).
  3D-QSAR study of insecticidal neonicotinoid compounds based on 3-way partial least squares model. Chemometrics and Intelligent Laboratory Systems, 47, 33-40. Abstract PDF
• Hasegawa, K., Arakawa, M., & Funatsu, K. (2000).
  Rational choice of bioactive conformations through use of conformation analysis and 3-way partial least squares modeling. Chemometrics and Intelligent Laboratory Systems, 50, 253-261. Abstract PDF
• Hasegawa, K., Arakawa, M., & Funatsu, K. (2003a).
  Simultaneous determination of bioactive conformations and alignment rules by multi-way PLS modeling. Computational Biology and Chemistry, 27, 211-216. Abstract PDF
• Hasegawa, K., Matsuoka, S., Arakawa, M., & Funatsu, K. (2003b).
  Multi-way PLS modeling of structure-activity data by incorporating electrostatic and lipophilic potentials on molecular surface. Computational Biology and Chemistry, 27, 381-386. Abstract PDF
• Hattie, J. A., McDonald, R. P., Snyder Jr, C. W., & Law, H. G. (1984).
  Issues and perspectives in multimode analysis. In H. G. Law, C. W. Snyder Jr, J. A. Hattie, & R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 555-564). New York: Praeger. Abstract (not yet available)
• Hayashi, C. (1972).
  Two dimensional quantification based on the measure of dissimilarity among three elements. Annals of the Institute of Statistical Mathematics, 24, 251-257. Photo Abstract (not yet available)
• Hayashi, C. (1981).
  Distance or generalized variance. In Classification Automatique et Perception par Ordinateur (pp. 129-141). Chesnay, France: INRIA. Abstract
• Hayashi, C. (1982).
  An algorithm for the solution of PARAFAC model and analysis of the data by the international rice adaptation experiments. Bulletin of the Biometric Society of Japan, 3, 77-91. Abstract
• Hayashi, C. (1985).
  Recent theoretical and methodological developments in multidimensional scaling and its related methods in Japan. Behaviormetrika, 18, 67-79. Abstract
• Hayashi, C. (1989).
  Multiway data matrices and method of quantification of qualitative data as a strategy of data analysis. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 131-142). Amsterdam: Elsevier. Abstract
• Hayashi, C. (1993).
  Suryoka: Riron to hoko [Quantifications: Theory and methods. Chapter 6: Multiway data analysis, pp. 220-229]. Tokyo: Asakura-shoten. Abstract (not yet available)
• Hayashi, C. & Hayashi, F. (1982).
  A new algorithm to solve PARAFAC-model. Behaviormetrika, 11, 49-60. Abstract
• Hayashi, F. (1972).
  Theory of quantification and its example IX: e_ijk-type quantification and its computer program (in Japanese). Proceedings of the Institute of Statistical Mathematics, 20, 35-43. Abstract (not yet available)
• Hayashi, F. (1985).
  Computer programs of multidimensional quantification method Technical Notes, Institute of Statistical Mathematics, Tokyo. Abstract (not yet available)
• Hayashi, F., Yamaoka, K., & Terao, H. (1982).
  A comparative study between two algorithms of PARAFAC model (in Japanese). Japanese Journal of Behaviormetrics, 1, 47-62. Abstract
         
• Heimdal, H., Bro, R., Larsen, L. M., & Poll, L. (1997).
  Prediction of polyphenol oxidase activity in model solutions containing various combinations of chlorogenic acid, (-)-epicatechin, O₂, CO₂, temperature, and pH by multiway data analysis. Journal of Agricultural and Food Chemistry,45,2399-2406 Abstract PDF
• Heiser, W. J. (1989).
  The city-block model for three-way multidimensional scaling. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 395-404). Amsterdam: Elsevier. Photo Abstract
• Heiser, W. J., & Bennani, M. (1997).
  Triadic distance models: Axiomatization and least squares representation. Journal of Mathematical Psychology, 41, 189-206. Abstract PDF
• Heiser, W. J., & De Leeuw, J. (1982).
  Theory of multidimensional scaling. In P. R. Krishnaiah & L. N. Kanal (Eds.), Handbook of statistics (pp. 285-316). Amsterdam: North Holland. Abstract (not yet available)
• Heiser, W. J., & Stoop, I. (1986).
  Explicit Smacof algorithms for individual differences scaling.. PROXSCAL Progress Report No. 2, Department of Data Theory Leiden University, Leiden The Netherlands. Abstract (not yet available)
• Henrion, G., Henrion, R., Bacso, J., & Uzonyi, I. (1990).
  Ausgewählte Methoden der Korrelationsanalyse am Beispiel der Spurenelementrelationen im menschlichen Körper [Selected methods of correlation-analysis for the example of trace-element relations in human-body]. Zeitschrift für Chemie, 30, 204-211.** Abstract
• Henrion, G., Nass, D., Michael, G., & Henrion, R. (1995).
  Multivariate 3-way data analysis of amino acid patterns of lakes. Fresenius Journal of Analytical Chemistry, 352, 431-436. Photo Abstract PDF
• Henrion, R. (1993).
  Body diagonalization of core matrices in three-way principal components analysis: Theoretical bounds and simulation. Journal of Chemometrics, 7, 477-494. Photo Abstract
• Henrion, R. (1994).
  N-way principal component analysis: Theory, algorithms and applications. Chemometrics and Intelligent Laboratory Systems, 25, 1-23. Abstract PDF
• Henrion, R. (1998).
  Simultaneous simplification of loading and core matrices in N-way PCA: application to chemometric data arrays. Fresenius Journal of Analytical Chemistry, 361, 15-22. Abstract PDF
• Henrion, R. (2000).
  On global, local and stationary solutions in three-way data analysis. Journal of Chemometrics, 14, 261-274. Abstract PDF
• Henrion, R. & Andersson, C. A. (1999).
  A new criterion for simple-structure transformations of core arrays in N-way principal components analysis. Chemometrics and Intelligent Laboratory Systems, 47, 189-204. Abstract PDF
• Henrion, R., Henrion, G., Böhme, M. & Behrendt, H. (1997).
  Three-way principal components analysis for fluorescence spectroscopic classification of algae species. Fresenius Journal of Analytical Chemistry, 357, 522-526. Abstract PDF
• Henrion, R., Henrion, G., Heininger, P., & Steppuhn, G. (1990).
  Three-way principal components analysis for multivariate evaluation of round robin tests. Fresenius Journal of Analytical Chemistry, 336, 37. Abstract (not available) PDF
• Henrion, R., Henrion, G., Heininger, P., & Steppuhn, G. (1991).
  Statistical analysis of complex round robin tests. Acta Hydrochimica et Hydrobiologica, 19, 603-614. Abstract
• Henrion, R., Henrion, G., & Onuoha, G. C. (1992).
  Multi-way principal components analysis of a complex data array resulting from physiochemical characterization of natural waters. Chemometrics and Intelligent Laboratory Systems, 16, 87-94. Abstract PDF
• Henshaw, J. M., Burgess, L. W., Booksh, K. S., & Kowalski, B. R. (1994).
  Multicomponent determination of chlorinated hydrocarbons using a reaction-based chemical sensor. Part 1: Multivariate calibration of fujiwara reaction-products. Analytical Chemistry, 66, 3328-3336. Abstract PDF
• Hentschel, U., & Klintman, H. (1974).
  A 28-variable semantic differential. I. On the factorial identification of content. Psychological Research Bulletin No. 14, Lund University, Lund Sweden. Abstract
• Hernandez-Arteseros, J. A., Beltran, J. L., Compano, R., & Prat, M. D. (2002).
  Fast-scanning fluorescence spectroscopy as a detection system in liquid chromatography or confirmatory analysis of flumequine and oxolinic acid. Journal of Chromatography A, 942, 275-281. Abstract PDF
• Herrero, A., Zamponi, S., Marassi, R., Conti, P., Ortiz, M. C. & Sarabia, L. A. (2002).
  Determination of the capability of detection of a hyphenated method: Application to spectroelectrochemistry. Chemometrics en Intelligent Laboratory Systems, 61, 63-74. Abstract PDF
• Herrmann, W. M., Röhmel, J., Streitberg, B., & Willmann, J. (1983).
  Example for applying the COMSTAT multimodal factor analysis algorithm to EEG data to describe variance sources. Neuropsychobiology, 10, 164-172. Abstract
• Hertzog, C. (1986).
  On pooling covariance matrices for multivariate analysis. Educational and Psychological Measurement, 46, 349-352. Abstract (not yet available)
         
• Hiden, H. G., Willis, M. J., Tham, M. T., & Montague, G. A. (1999).
  Non-linear principal components analysis using genetic programming. Computers & Chemical Engineering, 23, 413-425. Abstract PDF
• Hildebrandt, L., & Klapper, D. (1994).
  The analysis of three-way three-mode data: A program based on GAUSS. In F. Faulbaum (Ed.), Advances in statistical software,Vol. 4 (pp. 527-534). Stuttgart - Jena - New York: Gustav Fischer. Abstract
• Hildebrandt, L., & Klapper, D. (2001).
  The analysis of price competition between corporate brands. International Journal of Research in Marketing, 18, 139-159. Abstract PDF
• Hindmarch, P., Kavianpour, K., & Brereton, R. G. (1997).
  Evaluation of parallel factor analysis for the resolution of kinetic data by diode-array high-performance liquid chromatography. Analyst, 122, 871-877. Abstract PDF
• Hirschberg, N. (1980).
  Individual differences in social judgment: A multivariate approach. In M. Fishbein (Ed.), Progress in social psychology (pp. 73-126). Hillsdale, NJ: Erlbaum. Abstract
             
• Hoffman, E. L., & Tucker, L. R. (1964).
  Three-way factor analysis of a multitrait-multimethod matrix. Technical Report, Office of Naval Research and Department of Psychology University of Illinois, Urbana IL. Abstract
• Hogden, J., Lofqvist, A., Gracco, V., Zlokarnik, I., Ru, P., & Saltzman, E. (1996).
  Accurate recovery of articulator positions from acoustics: New conclusions based on human data. Journal of the Acoustical Society of America, 100, 1819-1834.** Abstract
• Hohn, M. E. (1979).
  Principal components analysis of three-way tables. Journal of the International Association of Mathematical Geology, 11, 611-626. Abstract
• Hohn, M. E., & Friberg, L. M. (1979).
  A generalized principal components model in petrology. Lithos, 12, 317-324. Abstract PDF
• Holmes, S. (1989).
  Using the bootstrap and the RV coefficient in the multivariate context. In E. Diday (Ed.), Data analysis, learning symbolic and numeric knowledge (pp. 119-131). New York: Nova Science. Abstract
• Hong, S., & Harshman, R. A. (2000).
  Shifted factor analysis, Part II: Algorithms and applications. Unpublished manuscript, Department of Psychology University of Western Ontario, London Canada. Abstract
• Hong, S., & Harshman, R. A. (2003a).
  Shifted factor analysis, Part II: Algorithms. Journal of Chemometrics, 17, 379-388. Abstract PDF
• Hong, S., & Harshman, R. A. (2003b).
  Shifted factor analysis - Part III: N-way generalization and application. Journal of Chemometrics, 17, 389-399. Abstract PDF
• Hong-Ping, X., Jian-Hui, J. Guo-Li, S., & Ru-Qin, Y. (2002).
  Estimation of the chemical rank for the three-way data: A principal norm vector orthogonal projection approach. Computers & Chemesty, 26, 183-190. Abstract PDF
• Hoole, P. (1999).
  On the lingual organization of the German vowel system. Journal of the Acoustical Society of America, 106, 1020-1032. Abstract
• Hoole, P., Wismüller, A., Leinsinger, G., Kroos, C., Geumann, A., & Inoue, M. (2000).
  Analysis of tongue configuration in multi-speaker, multi-volume MRI data. Unpublished paper, Phonetics Institute Ludwig-Maximilians-Universität, Munich Germany. Abstract (not yet available) PDF
• Hopke, P. K., Paatero, P., Jia, H., Ross, R. T., & Harshman, R. A. (1998).
  Three-way (PARAFAC) factor analysis: Examination and comparison of alternative computational methods as applied to ill-conditioned data. Chemometrics and Intelligent Laboratory Systems, 43, 25-42. Photo Abstract PDF
• Hopke, P. K. (2003).
  The evolution of chemometrics. Analytica Chimica Acta, 500, 365-377. Abstract PDF
• Houle, D., Mezey, J., & Galpern, P. (2002).
  Interpretation of the results of common principal components analyses. Evolution, 56, 433-440. Abstract PDF            
• Huang, J. R., Wium, H., Qvist, K. B., & Esbensen, K. H. (2003a).
  Multi-way methods in image analsis-relationships and applications. Chemometrics and Intelligent Laboratory Systems, 66, 141-158. Abstract PDF
• Huang, J. R., Li, T. H., Chen, K., & Qi, Y. P. (2003b).
  A preprocessing method applied in multi-dimension data - NOSC. Chemical Journal of Chinese Universities-Chinese, 24, 1009-1012. Abstract
• Hubert, L., & Arabie, P. (1995).
  Iteratieve projectiion strategies for the least-squares fitting of tree structures to proximity data. British Journal of Mathematical & Statistical Psychology, 48, 281-317. Abstract
• Hunt, L. A., & Basford, K. E. (1999).
  Fitting a mixture model to three-mode three-way data with categorical and continuous variables. Journal of Classification, 16, 283-296. Abstract PDF
• Hunt, L. A., & Basford, K. E. (2001).
  Fitting a mixture model to three-mode three-way data with missing information. Journal of Classification, 18, 209-226. Abstract PDF
• Huo, R., Wehrens, R., Van Duynhoven, J., & Buydens, L. M. C. (2003).
  Assessment of techniques for DOSY NMR data processing. Analytica Chimica Acta, 490, 231-251. Abstract PDF          

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