Three-Mode bibliography, Part F

• Faber, N. M. (1994).
  Contributions to multivariate data analysis in chemometrics. Unpublished doctoral thesis, Catholic University Nijmegen, Nijmegen The Netherlands. Abstract (not yet available)
• Faber, N. M. (1999a).
  Compression of broad-banded spectra by boxcar averaging: Application to the near-infrared prediction of oxygenate concentration in gasoline. Applied Spectroscopy, 53, 1011-1015. Abstract (not yet available)
• Faber, N. M. (1999b).
  Note on the error analysis of the generalized rank annihilation method. Analytical Letters, 32, 2899-2906. Abstract
• Faber, N. M. (2000).
  Exact presentation of multivariate calibration model as univariate calibration graph. Chemometrics and Intelligent Laboratory Systems, 50, 107-114. Abstract PDF
• Faber, N. M. (2001a).
  Comment on a recently proposed resampling method. Journal of Chemometrics , 15, 169-188. Abstract PDF
• Faber, N. M. (2001b).
  The price paid for the second-order advantage when using the generalized rank annihilation method (GRAM). Journal of Chemometrics , 15, 743-748 Abstract PDF
• Faber, N. M. (2002).
  Towards a rehabilitation of the generalized rank annihilation method (GRAM). Analytical and Bioanalytical Chemistry, 372, 683-687. Abstract PDF
• Faber, N. M., & Bro, R. (2002).
  Standard error of prediction for multiway PLS: 1. Background and a simulation study. Chemometrics and Intelligent Laboratory Systems, 60, 133-149. Abstract PDF
• Faber, N. M., Bro, R., & Hopke, P. K. (2003).
  Recent development in CANDECOMP/PARAFAC algorithms: A critical review. Chemometrics and Intelligent Laboratory Systems, 65, 119-137. Abstract PDF
• Faber, N. M., Buydens, L. M. C., & Kateman, G. (1993).
  Standard errors in the eigenvalues of a cross-product matrix: Theory and applications. Journal of Chemometrics, 7, 495-526. Abstract
• Faber, N. M., Buydens, L. M. C., & Kateman, G. (1994a).
  Generalized rank annihilation method. I: Derivation of eigenvalue problems. Journal of Chemometrics, 8, 147-154. Abstract
• Faber, N. M., Buydens, L. M. C., & Kateman, G. (1994b).
  Generalized rank annihilation method. II: Bias and variance in the estimated eigenvalues. Journal of Chemometrics, 8, 181-203. Abstract
• Faber, N. M., Buydens, L. M. C., & Kateman, G. (1994c).
  Generalized rank annihilation method. III: Practical implementation. Journal of Chemometrics, 8, 273-285. Abstract
• Faber, N. M., Ferré, J., & Boqué, R. (2001c).
  Iteratively reweighted generalized rank annihilation method 1. Improved handling of prediction bias. Chemometrics and Intelligent Laboratory Systems, 55, 67-90. Abstract PDF
• Faber, N. M., Ferré, J., Boqué, R., & Kalivas, J. H. (2002a).
  Second-order bilinear calibration: The effects of vectorising the data matrices of the calibration set. Chemometrics and Intelligent Laboratory Systems, 63, 107-116. Abstract PDF
• Faber, N. M., Ferré, J., Boqué, R., & Kalivas, J. H. (2003).
  Quantifying selectivity in spectrophotometric multicomponent analysis. Trac-trends in Analytical Chemistry, 22, 352-361. Abstract
• Faber, N. M., Lorber, A., & Kowalski, B. R. (1997a).
  Analytical figures of merit for tensorial calibration. Journal of Chemometrics, 11, 419-461. Abstract  PDF
• Faber, N. M., Lorber, A., & Kowalski, B. R. (1997b).
  Generalized rank annihilation method: Standard errors in the estimated eigenvalues if the instrumental errors are heteroscedastic and correlated. Journal of Chemometrics, 11, 95-109. Abstract PDF
• Faber, N. M., Meinders, M. J., Geladi, P., Sjöström, M., Buydens, L. M. C., & Kateman, G. (1995).
  Random error bias in principal component analysis. art II. Application of theoretical predictions to multivariate problems. Analytica Chimica Acta, 304, 273-283. Abstract PDF
• Fabricius, W. V., Nagoshi, C. T., & Mackinnon, D. P. (1997).
  Concepts of drugs: differences in conceptual structure across groups with different levels of drug expercience. Addiction, 92, 847-858. Abstract PDF
• Fabrizius, M. A., Cooper, M., & Basford, K. E. (1997).
  Genetic analysis of variation for grain yield and protein concentration in two wheat crosses. Australian Journal of Agricultural Research, 48, 605-614.** Abstract
• Fachin, S., Shea, D. G., & Vichi, M. (2002).
  Exploring 3D datasets: a factorial matrices analysis of the US industry in the 1980s. Applied Economics, 34, 295-304. Abstract PDF
• Fah, D., & Koch, K. (2002).
  Discrimination between earthquakes and, chemical explosions by multivariate statistical analysis: A case study for Switzerland. Bulletin of the Seismological Society of America, 92, 1795-1805. Abstract
         
• Ferreira, M. M. C. (2003).
  Multivariate QSAR. Journal of the Brazilian Chemical Society, 13, 742-753. Abstract PDF
• Ferreira, M. M. C., Brandes, M. L., Ferreira, I. M. C., Booksh, K. S., Dolowy, W. C., Gouterman, M., & Kowalski, B. R. (1995).
  Chemometric study of the fluorescence of dental calculus by trilinear decomposition. Applied Spectroscopy, 49, 1317-1325. Abstract
• Ferrer, R., Beltrán, J. L., & Guiteras, J. (1999).
  Multivariate calibration applied to synchronous fluorescence spectrometry. Simultaneous determination of polycyclic aromatic hydrocarbons in water samples. Talanta, 45, 1073-1080. Abstract PDF
• Ferrer, R., Guiteras, J. & Beltrán, J. L. (1999).
  Artificial neural networks (ANNs) in the analysis of polycyclic aromatic hydrocarbons in water samples by synchronous fluorescence. Analytica Chimica Acta, 384, 261-269. Abstract PDF
         
• Field, A. S., & Graupe, D. (1991).
  Topographic component (parallel factor) analysis of multichannel evoked potentials: Practical issues in trilinear spatiotemporal decomposition. Brain Topography, 3, 407-423. Abstract PDF
• Fillipan, N., Bezemer, E., Burke, J., & Rutan, S. C. (2004).
  Studies of liquid-phase complexes in acetonitrile/water solutions by attenuated total reflection infrared spectroscopy with acetaldehyde as a model solute. Applied Spectroscopy, 58, 1187-1194. Abstract
• Firth, P. M., & Snyder Jr, C. W. (1979).
  Three-mode factor analysis of self-reported difficulty in assertiveness. Australian Journal of Psychology, 31, 125-135. Abstract
• Fischel, J. E. (1982).
  The organization of human newborn sucking and movement during auditory stimulation. Infant Behavior and Development, 5, 45-61. Abstract PDF
       
• Flåten, G. R., Grung, B., & Kvalheim, O. M. (2004).
  Quantification of pollution levels by multiway modelling. Journal of Chemometrics,18, 173-182. Abstract PDF
• Flores-Cerrillo, J., & MacGregor, J.F. (2004).
  Multivariate monitoring of batch processes using batch-to-batch information. AIChE Journal, 50, 1219-1228. Abstract PDF
• Flôres Jr, R. G. (1988a).
  On some methods for analysing three-way tables. Discussion paper No. 8805, Centre d'Economie Mathématique et d'Econométrie Université Libre de Bruxelles, Bruxelles Belgium. Abstract (not yet available)
• Flôres Jr, R. G. (1988b).
  Classical approaches to cubic tables. Cahiers du Centre d'Etudes et de Recherche Opérationelle, 30, 39-46. Abstract
• Flôres Jr, R. G. (1989).
  Contractions for three-way tables. In E. Diday (Ed.), Data analysis, learning symbolic and numeric knowledge (pp. 47-54). New York: Nova Science. Abstract (not yet available)
• Flury, B. N. (1984).
  Common principle components in k groups. Journal of the American Statistical Association, 79, 892-898. Abstract PDF
• Flury, B. (1988).
  Common principal components and related multivariate models. New York: Wiley. Abstract (not yet available)
• Flury, B. (1990).
  Principal points. Biometrika, 77, 33-41. Abstract PDF
• Flury, B. (1995).
  Developments in principal components analysis. In W. J. Krzanowski (Ed.), Recent advances in descriptive multivariate analysis. (pp. 14-33). Oxford, UK: Clarendon Press. Abstract (not yet available)
• Flury, B. D., & Neuenschwander, B. E. (1994).
  Modelling principal components with structure. In H. Bozdogan (Ed.), Proceedings of the first US/Japan conference on the frontiers of statistical modeling: An informational approach (pp. 183-198). Dordrecht: Kluwer. Abstract (not yet available)
       
• Foss, M. A., Fabiani, M., Mane, A.-M., & Donchin, E. (1989).
  Unsupervised practice: The performance of the control group. Special issue: The Learning Strategies program: An examination of the strategies in skill acquisition. Acta Psychologica, 71, 23-51. Abstract PDF
• Foucart, Th. (1983).
  Une nouvelle approche de la méthode STATIS [A new approach of the STATIS method].Revue de Statistique Appliquée, 31, 61-75. Abstract (not yet available)
• Foucart, Th. (1985a).
  Application de l'analyse factorielle des correspondances [Application of correspondence factor analysis]. Statistique et Analyse de Données, 10, 54-64. Abstract
• Foucart, Th. (1985b).
  Application de la méthode RAS [Application of the RAS method]. Statistique et Analyse de Données, 10, 65-82. Abstract
       
• Franc, A. (1989).
  Multiway arrays: Some algebraic remarks. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 19-29). Amsterdam: Elsevier. Photo Abstract
• Franc, A. (1992).
  Étude algebrique des multitableaux: Apports de l'algèbre tensorielle [An algebraic study of multi-way tables: Contributions of tensor algebra]. Unpublished doctoral thesis, Université de Montpellier II, Montpellier France. Abstract (not yet available)
• Franc, A. (1998).
  Review of "The analysis of three-way arrays by constrained PARAFAC methods". Psychometrika, 63, 221-223. Abstract (no abstract present) [Reviewed book]
• Fraser, C. (1980).
  COSAN: User's guide. Computer manual, Department of Measurement Evaluation and Computer Applications Ontario Institute for Studies in Education, Toronto Canada Abstract (not yet available)
• Frederiksen, N. (1972).
  Toward a taxonomy of situations. American Psychologist, 27, 114-123. Abstract PDF
• Frenich, A. G., Galera, M. M., Vidal, J. L. M., Massart, D. L., Torres-Lapasio, J. R., De Braekeleer, K., Wang, J. H., & Hopke, P. K. (2000).
  Resolution of multicomponent peaks by orthogonal projection approach, positive matrix factorization and alternating least squares. Analytica Chimica Acta, 411, 145-155. Abstract PDF
• Frenich, A. G., Galera, M. M., Garcia, M. D. G., Vidal, J. L. M., Catasus, M., Marti, L., & Mederos, M. V.(2001).
  Resolution of HPLC-DAD highly overlapping analytical signals for quantitation of pesticide mixtures in groundwater and soil using multicomponent analysis and neural networks. Journal of Liquid Chromatography & Related Technologies, 24, 651-668. Abstract PDF
• Frenich, A. G., Zamora, D. P. Galera, M. M. & Vidal, J. L. M.(2003).
  Application of GRAM and TLD to the resolution and quantitation of real complex multicomponent mixtures by fluorescence spectroscopy. Analytical and Bioanalytical Chemistry, 375, 974-980. Abstract PDF
• Frenich, A. G., Vidal, J. L. M., & Galera, M. M.(1999).
  Use of the cross-section technique linked with multivariate calibration methods to resolve complex pesticide mixtures. Analytical Chemistry, 71, 4844-4850. Abstract PDF
• Frisvad, J. C. (1994).
  Correspondence, principal coordinate and redundancy analysis used on mixed chemotaxonomical qualitative and quantitave data. Chenometrics and Intelligent Laboratory Systems, 23, 213-229. Abstract PDF
• Fruchter, B. (1969).
  A comparison of two-mode and three-mode factor analysis of psychomotor learning performance. In H. R. Wijngaarden (Ed.), Proceedings of the XVIth International Congress of Applied Psychology (pp. 600-607). Amsterdam: Swets & Zeitlinger. Abstract (not yet available)                

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