Three-Mode bibliography, Part W

• Wainer, H., Gruvaeus, G., & Blair, M. (1974).
  TREBIG: A 360/75 FORTRAN program for three-mode factor analysis designed for big data sets. Behavioral Research Methods and Instrumentation, 6, 53-54. Abstract
• Wainer, H., Gruvaeus, G., & Zill II, N. (1973a).
  Senatorial decision making: I. The determination of structure. Behavioral Science, 18, 7-19. Abstract
• Wainer, H., Zill II, N., & Gruvaeus, G. (1973b).
  Senatorial decision making: II. Prediction. Behavioral Science, 18, 20-26. Abstract
• Walsh, J. A. (1964).
  An IBM 709 program for factor analyzing three-mode matrices. Educational and Psychological Measurement, 24, 669-673. Abstract
• Walter, J. (1976).
  Komplexe taaksituaties en hartsnelheidsvariabiliteit in de psychiatrie [Complex task situations and variability of heart-rate in psychiatry]. Research Report, Foundation Centre St.-Bavo, Noordwijkerhout The Netherlands. Abstract
• Wang, J. H., & Hopke, P. K. (2001).
  Equation-oriented system: An efficient programming approach to solve multilinear and polynomial equations by the conjugate gradient algorithm. Chemometrics and Intelligent Laboratory Systems, 55, 13-22. Abstract PDF
• Wang, J. H., Hopke, P. K., Hancewicz, T. M., & Zhang, S. L. L. (2003).
  Application of modified alternating least squares regression to spectroscopic image analysis. Analytica Chimica Acta, 476, 93-109. Abstract PDF
• Wang, K., Begleiter, H., & Porjesz, B. (2000).
  Trilinear modeling of event-related potentials. Brain Topography, 12, 263-271. Abstract PDF
• Wang, Y. D., Borgen, O. S., & Kowalski, B. R. (1993).
  Comments on the residual bilinearization method. Journal of Chemometrics, 7, 439-445. Abstract
• Wang, Y. D., Borgen, O. S., Kowalski, B. R., Gu, M., & Turecek, F. (1993).
  Advances in second-order calibration. Journal of Chemometrics, 7, 117-130. Abstract
• Wang, Y. D., & Kowalski, B. R. (1993).
  Standardization of second-order instruments. Analytical Chemistry, 65, 1174-1180. Abstract PDF
• Wansbeek, T., & Buyze, J. (1981).
  Multi-dimensional matrices and multiplicative interdependence in regression analysis. Research Report BPA No. 13593-81-M1, Department for Statistical Methods Central Bureau of Statistics, Voorburg The Netherlands. Address Abstract
• Wansbeek, T., & Verhees, J. (1989).
  Models for multidimensional matrices in econometrics and psychometrics. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 543-552). Amsterdam: Elsevier. Abstract
• Wansbeek, T., & Verhees, J. (1990).
  The algebra of multimode factor analysis. Linear Algebra and its Applications, 127, 631-639. Abstract
• Warmerdam, M. (1990).
  Affectieve reakties op reclame [Affective reactions to advertising]. Master's Thesis, Department of Psychology Leiden University, Leiden The Netherlands. Contents
• Wasserman, S., & Iacobucci, D. (1991).
  Statistical modeling of one-mode and 2-mode networks - Simultaneous analysis of graphs and bipartite graphs. Britisch Journal of Mathematical & Statistical Psychology, 44, 13-43. Abstract
• Watkins, D., & Hattie, J. (1985).
  A longitudinal study of the approaches to learning of Australian tertiary students. Human Learning, 4, 127-141. Abstract
         
• Weesie, J., & Van Houwelingen, H. (1983).
  GEPCAM users' manual: Generalized principal components analysis with missing values. Technical report, Institute of Mathematical Statistics University of Utrecht, Utrecht The Netherlands. Abstract PDF
• Wei, W. Z., Zhu, W. H., & Yao, S. Z. (1992).
  Application of ridge trace analysis in direct spectrophotometric calibration. Talanta, 39, 1629-1636.** Abstract
• Wein, B., Drobnitzky, M., & Klaiman, S. (1990).
  MRI and sonography during phonation. Fortschritte auf dem Gebiete der Röntgenstrahlen und der Neuen Bildgebenden Verfahren, 2, 2.** Abstract (not yet available)
• Weinberg, S. L., & Menil, V. C. (1993).
  The recovery of structure in linear and ordinal data - INDSCAL versus ALSCAL. Multivariate Behavioral Research, 28, 215-233. Abstract
• Weinberg, S. L., & Daws, J. T. (1994).
  Recovering true structure of three-way two-mode proximity data: A Monte Carlo study. Paper presented at the Meeting of the Psychometric Society. Urbana/Champaign IL, 23-26 June. [ No abstract present.]
• Wentzell, P. D., & Lohnes, M. T. (1999).
  Maximum likelihood principal component analysis with correlated measurement errors: theoretical and practical considerations. Chemometrics and Intelligent Laboratory Systems, 45, 65-85. Abstract PDF
• Wentzell, P. D. Nair, S. S., & Guy, R. D. (2001).
  Three-way analysis of fluorescence spectra of polycyclic aromatic hydrocarbons with quenching by nitromethane. Analytical Chemistry, 73, 1408-1415. Abstract PDF
• Westerhuis, J. A., Kourti, T. & MacGregor, J. F. (1999).
  Comparing alternative approaches for multivariate statistical analysis of batch process data. Journal of Chemometrics, 13, 397-413. Abstract PDF
• Westerhuis, J. A., Gurden, S. P., & Smilde, A. K. (2000a).
  Standardized Q-statistic for improved sensitivity in the monitoring of residuals in MSPC. Journal of Chemometrics, 14, 335-349. Abstract PDF
• Westerhuis, J. A., Gurden, S. P., & Smilde, A. K. (2000b).
  Generalized contribution plots in multivariate statistical process monitoring. Chemometrics and Intelligent Laboratory Systems, 51, 95-114. Abstract PDF
• Westerhuis, J. A., & Timmerman, M. E. (2001).
  TRICAP 2000: Three-way Methods in Chemistry and Psychology, Hvedholm Castle, Faaborg, Denmark, 16-21 July 2000. Journal of Chemometrics, 15, 193-196. Abstract [No abstract present.]  PDF
       
• Whitman, D. A., Seasholtz, M. B., Christian, G. D., Ruzicka, J., & Kowalski, B. R. (1991).
  Double-injection flow-injection analysis using multivariate calibration for multicomponent analysis. Analytical Chemistry, 63, 775-781. Abstract PDF
• Whitman, B. Y. (1980).
  The relationship of client personality variables and worker skill variables in the production of client behavioral self-disclosure in the therapeutic interview. Dissertation Abstracts International, 41, 1779. Abstract
   
• Wiberg, K., Andersson, M., Hagman, A., & Jacobsson, S. P. (2003).
  Use of control sample for estimation of prediction error in multivariate determination of lidocaine solutions with non-column chromatographic diode array UV spectroscopy. Journal of Pharmaceutical and Biomedical Analysis, 33, 859-869. Abstract
• Wiberg, K., Andersson, M., Hagman, A., & Jacobsson, S. P. (2004a).
  Peak purity determination with principal component analysis of high-performance liquid chromatography-diode array detection data. Journal of Chromatography A, 1029, 13-20. Abstract
• Wiberg, K., & Jacobsson, S. P. (2004b).
  Parallel factor analysis of HPLC-DAD data for binary mixtures of lidocaine and prilocaine with different levels of chromatographic seperation. Analytica Chimica Acta, 514, 203-209. Abstract PDF
• Wicker, F. W. (1966).
  A scaling study of synesthetic thinking. Dissertation Abstracts International, 27, 2173. Abstract
• Wickremasinghe, W. N., & Johnson, D. E. (2002)
  Testing subhypotheses and estimating sigma(2) in the nonreplicated three-way multiplicative interaction model. Communication in Statistics: Simulation and Computation, 31, 605-618. Abstract
• Widen, B., Andersson, S., Rao, G. Y., & Widen, M. (2002).
  Population divergence of genetic (co)variance matrices in a subdivided plant species, Brassica cretica. Journal of Evolutionary Biology, 15, 961-970. Abstract
• Wienke, D., Van den Broek, W., & Buydens, L. (1995).
  Identification of plastics among nonplastics in mixes wase by remote-sensing near-infrared spectroscopy. 2. Multivariate image rank analysis for rapid classification. Analytical Chemistry, 67, 3760-3766. Abstract PDF
• Wienke, D., Van den Broek, W., Melssen, W., Buydens, L., Feldhoff, R., HuthFehre, T., Kantim, T., Winter, F., & Cammann, K. (1996).
  Near-infrared imaging spectroscopy (NIRIS) and image rank analysis for remote identification of plastics in mixed waste. Fresenius Journal of Analytical Chemistry, 354, 823-828. Abstract
• Wiggins, N. H., & Blackburn, M. C. (1976).
  Implicit theories of personality: An individual differences approach. Multivariate Behavioral Research, 11, 267-285. Abstract
• Wiggins, N., & Fishbein, M. (1969).
  Dimensions of semantic space: A problem of individual differences. In J. R. Snider & C. E. Osgood (Eds.), The semantic differential technique: A book of readings (pp. 183-193). Chicago: Aldine Press. Abstract
• Wiggins, J. S., Steiger, J. H., & Gaelick, L. (1981).
  Evaluating circumplexity in personality data. Multivariate Behavioral Research, 16, 263-289. Abstract (not yet available)
• Wilkinson, C., Schipper, M., & Leguijt, T. (2000).
  Weighted analysis for missing values in Generalized Procrustes Analysis. Food Quality and Preverence, 11, 85-90. Abstract PDF
• Williams, R. P., Swinkels, D. A. J., & Maeder, M. (1992).
  Identification and application of a prognostic vector for use in multivarate calibration. Chemometrics and Intelligent Laboratory Systems, 15, 185-193. Abstract PDF
• Williams, W. T., & Stephenson, W. (1973).
  The analysis of three-dimensional data (sites × species × times) in marine ecology. Journal of Experimental Marine Biological Ecology, 11, 207-227. Abstract
• Wilson, B. E., Lindberg, W., & Kowalski, B. R. (1989).
  Multicomponent quantitative-analysis using 2nd-order nonbilinear data: Theory and simulations. Journal of the American Chemical Society, 111, 3797-3804.** Abstract (not yet available)
• Wilson, B. E., Sanchez, E., & Kowalski, B. R. (1989).
  An improved algorithm for the generalized rank annihilation method. Journal of Chemometrics, 3, 493-498. Abstract
• Windig, W., Antalek, B., Robbins, M. J., Zumbulyadis, N., & Heckler, C. E. (2000).
  Applications of the direct exponential curve resolution algorithm (DECRA) to solid state nuclear magnetic resonance and mid-infrared spectra. Journal of Chemometrics, 14, 213-227. Abstract PDF
• Windig, W., Antalek, B., Sorriero, L. J., Bijlsma, S., Louwerse, D. J., & Smilde, A. K. (1999a).
  Applications and new developments of the direct exponential curve resolution algorithm (DECRA). Examples of spectra and magnetic resonance images. Journal of Chemometrics, 13, 95-110. Abstract PDF
• Windig, W., & Antalek, B. (1999b).
  Resolving nuclear magnetic resonance data of complex mixtures by three-way methods: Examples of chemical solutions and the human brain. Chemometrics and Intelligent Laboratory Systems, 46, 207-219. Abstract PDF
• Windig, W., Hornak, J. P., & Antalek, B. (1998).
  Multivariate image analysis of magnetic resonance images with the direct exponential curve resolution algorithm (DECRA) - Part 1: Algorithm and model study. Journal of Magnetic Resonance, 132, 298-306. Abstract
• Winsberg, S., & Carroll, J. D. (1989).
  A quasi-nonmetric method for multidimensional scaling of multiway data via a restricted case of an extended INDSCAL model. In R. Coppi & S. Bolasco (Eds.) Multiway data analysis (pp. 405-414). Amsterdam: North-Holland. Address Abstract
• Winsberg, S., & De Soete, G. (1993a).
  A latent class approach to fitting the weighted Euclidean model, CLASCAL. Psychometrika, 58, 315-330. Abstract PDF
• Winsberg, S., & Menil, V. C. (1993b).
  The recovery of structure in linear and ordinal data: INDSCAL versus ALSCAL. Multivariate Behavioral Research, 28, 215-233. Abstract (not yet available)
• Wise, B. M., & Gallagher, N. B. (1996).
  The process chemometrics approach to process monitoring and fault detection. Journal of Process Control, 6, 329-348. Abstract
• Wise, B. M., Gallagher, N. B., Butler, S. W., White, D. D., & Barna, G. G. (1999).
  A comparison of principal component analysis, multiway principal component analysis, trilinear decomposition and parallel factor analysis for fault detection in a semiconductor ETCH process. Journal of Chemometrics, 13, 379-396. Abstract PDF
• Wise, B. M., Gallagher, N. B., & Martin, E. B. (2001).
  Application of PARAFAC2 to fault detection and diagnosis in semiconductor etch. Journal of Chemometrics, 15, 285-298. Abstract PDF
• Wish, M., & Carroll, J. D. (1972).
  Multi-dimensional scaling with differential weighting of dimensions. In F. R. Hodson, D. G. Kendall & P. Tautu (Eds.), Mathematics in the archeological and historical sciences (pp. 150-167). Edinburgh: Edinburgh University Press. Abstract
• Wish, M., & Carroll, J. D. (1982).
  Multidimensional scaling and its applications. Handbook of Statistics, 2, 317-345. Abstract
• Witjes, H. Simonetti, A. W., & Buydens, L. (2001).
  Better brain imaging with chemometrics. Analytical Chemistry, 73, 548A-556A. Abstract (not yet available)
             
• Wold, S., Geladi, P., Esbensen, K., & Öhman, J. (1987).
  Multi-way principal components and PLS-analysis. Journal of Chemometrics, 1, 41-56. Abstract
• Wold, S., Ruhe, A., Wold, H., & Dunn III, W. J. (1984).
  The collinearity problem in linear regression, the partial least squares (PLS) approach to generalized inverses. SIAM Journal of Statistics and Computations, 5, 735-743. Address Abstract (not yet available)
• Wold, J. P., & Kvaal, K. (2000).
  Mapping lipid oxidation in chicken meat by multispectral imaging of autofluorescence. Applied Spectroscopy, 54, 900-909. Abstract
• Wold, J. P., Westad, F., & Heia, K. (2001).
  Detection of parasites in cod fillets by using SIMCA classification in multispectral images in the visible and NIR region. Applied Spectroscopy, 55, 1025-1034. Abstract
• Wong, R. S. K. (2001).
  Multidimensional association models - A multilinear approach. Sociological Methods & Research, 30, 197-240. Abstract
• Workman, J. (2002).
  The state of mulivariate thinking for scientists in industry: 1980-2000. Chemometrics and Intelligent Laboratory Systems, 60, 13-32. Abstract PDF      
• Wright, R. D., & Elliott, S. J. (1990).
  Parameter interpolation in speech synthesis. Journal of the Acoustical Society of America, 87, 383-391.** Abstract (not yet available)      
• Wu, H. L., Shibukawa, M., & Oguma, K. (1997a).
  Second-order calibration based on alternating trilinear decomposition: A comparison with the traditional PARAFAC algorithm. Analytical Sciences, 13, 53-58. Abstract
• Wu, H. L., Feng, Y. Q., Shibukawa, M., & Oguma, K. (1997b).
  Alternative algorithm for simultaneous determinations of components poorly resolved by liquid chromatography with multiwavelength detection. Analytical Sciences, 13, 99-108. Abstract
• Wu, H. L., Shibukawa, M., & Oguma, K. (1998).
  An alternating trilinear decomposition algorithm with application to calibration of HPLC-DAD for simultaneous determination of overlapped chlorinated aromatic hydrocarbons. Journal of Chemometrics, 12, 1-26. Abstract PDF
• Wu, H. L., Yu, R. Q., & Oguma, K. (2001).
  Trilinear component analysis in modern analytical chemistry. Analytical Sciences, 17, i483-i486. Abstract PDF
• Wu, H. L., Yu, R. Q., Shibukawa, M., & Oguma, K. (2000).
  Second-order standard addition method based on alternating trilinear decomposition. Analytical Sciences, 16, 217-220. Abstract
• Wu, W., Guo, Q., Jouan-Rimbaud, D., & Massart, D. L. (1999).
  Using contrasts as data pretreatment method in pattern recognition of multivariate data. Chemometrics and Intelligent Laboratory Systems, 45, 39-53. Abstract PDF
• Wu, W., Guo, Q., Massart, D. L., Boucon, C., & De Jong, S. (2003).
  Structure preserving feature selection in PARAFAC using a genetic algorithm and Procrustes analysis. Chemometrics and Intelligent Laboratory Systems, 65, 85-95. Abstract PDF
           

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