Analyse factorielle multiple et analyse procustéenne

J. Pagès

Revue de Statistique Appliquée (2005)

  • Volume: 53, Issue: 4, page 61-86
  • ISSN: 0035-175X

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Pagès, J.. "Analyse factorielle multiple et analyse procustéenne." Revue de Statistique Appliquée 53.4 (2005): 61-86. <http://eudml.org/doc/106574>.

@article{Pagès2005,
author = {Pagès, J.},
journal = {Revue de Statistique Appliquée},
language = {fre},
number = {4},
pages = {61-86},
publisher = {Société française de statistique},
title = {Analyse factorielle multiple et analyse procustéenne},
url = {http://eudml.org/doc/106574},
volume = {53},
year = {2005},
}

TY - JOUR
AU - Pagès, J.
TI - Analyse factorielle multiple et analyse procustéenne
JO - Revue de Statistique Appliquée
PY - 2005
PB - Société française de statistique
VL - 53
IS - 4
SP - 61
EP - 86
LA - fre
UR - http://eudml.org/doc/106574
ER -

References

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  1. ARNOLD G. M. and WILLIAMS A. A. ( 1986), The use of generalized procustes techniques in sensory analysis. In Statistical procedures in food research.Pigott J. R. Eds. Elsevier applied sciences. 233-253 
  2. CARROLL J. D. ( 1968), A generalization of canonical correlation analysis to three or more sets of variables. Proceedings of the 76th annual convention of the American Psychological Association, p 227-228. 
  3. DIJKSTERHUIS G. B ( 1995), Multivariate data analysis in sensory and consumer science. Thesis. Rijksuni Versiteit Leiden. 
  4. DIJKSTERHUIS G. B. and GOWER J. C. ( 1991/2), The interpretation of generalized Procustes analysis and allied methods. Food Quality and Preference, 3 p. 67-87. 
  5. ESCOFIER B. et PAGES J. ( 1998), Analyses factorielles simples et multiples. Objectifs, méthodes et interprétation. 3e édition, Dunod. Paris. 
  6. GOWER J.-C. ( 1975), Generalized Procrustes Analysis. Psychometrika, 40, p. 33-51 Zbl0305.62038MR405725
  7. GREEN B. F. ( 1952), The orthogonal approximation of an oblique structure in factor analysis. Psychometrika, 17, p. 429-440. Zbl0049.37601MR53057
  8. LAFOSSE R. ( 1985), Analyses procustéennes de deux tableaux. Thèse de 3e cycle. Toulouse. 
  9. LANGRON S.P. ( 1983), The application of Procustes statistics to sensory profiling. In. Sensory quality in Foods & Beverages. Definition measurement & control. Williams & Atkin (Eds), Ellis Horwood Ltd, Chichester, p.89-95. 
  10. OP & P ( 1992), Procustes PC version 2.2 A personal computer program for generalized procustes analysis. Utrecht; OP & P Software Development. 
  11. PEAY E.R. ( 1988), Multidimensional rotation and scaling of configurations to optimal agreement. Psychometrika, 53, p. 199-208. Zbl0718.62136MR955465
  12. PIGGOTT J. R. ( 1986), Statistical procedures in food research. Elsevier 
  13. SAPORTA G. ( 1990), Probabilités, analyse des données et statistique. Technip, Paris. Zbl0703.62003
  14. SPAD. ( 2002), Système portable pour l'analyse des données. Logiciel diffusé par SPAD Groupe Test & GO Paris. 
  15. WILLIAMS A. and ARNOLD G.M. ( 1984), A new approach to the sensory analysis of foods and beverages. In Progress in flavour research 1984. Proceedings of the 4th Weurman flavour research symposium. J. Adda (Ed.) Elsevier Amsterdam p. 35-50. 

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