Generalization of preference mapping to incomplete block designs;La cartographie des préférences incomplètes - validation par simulation

Sciences des Aliments

Volumn 17, Issue 2, 1997, Pages 155-172

  Callier, Philippe ^a   Schlich, Pascal ^b  

^a Groupe Danone   (France)

^b CEMAGREF   (France)

Author keywords

Balanced incomplete block design; Monte Carlo simulation; Mutually orthogonal latin squares; Preference mapping

Indexed keywords

EID: 0031527740     PISSN: 02408813     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. e Journées agro-industrie et méthodes statistiques, Dijon, 7-8 décembre 1995, 283-287, ENESAD, Dijon.
2. e cycle. Université des sciences et techniques du Languedoc, Montpellier.
3. CAROLL J.D., CHANG J.J., 1970. Analysis of individual differences in multidimensional scaling via a N-way generalization of « Eckart-Young » decomposition. Psychometrika, 35, 283-319.
4. ESCOUFIER Y., 1973. Le traitement des variables vectorielles. Biometrics, 29, 751-760.
5. GOWER J.C., 1971. A general coefficient of similarity and some of its properties. Biometrics, 27 (December). 857-874.
6. HEDDERLEY D., WAKELING I., 1995. A comparison of imputation techniques for internal preference mapping, using Monte-Carlo simulation. Food Quality and Preference, 6, 281 -297.
7. HARTIGAN J.A, 1975. Clustering algorithms. John Wiley & Sons Inc, New York.
8. HUBERT L., ARABIE, P., 1985. Comparing partitions. J. Classif., 2, 193-218.
9. JOBSON J.D., 1991. Applied multivariate data analysis. Volume II : Categorical and multivariate methods. Springer-Verlag, New York.
10. JOHN P.W.M., 1971. Statistical designs and analysis of experiments. Macmillan, New York.
11. JONES B., KENWARD, M.G., 1989. Design and analysis of cross-over trials. Chapman and Hall, London.
12. MEAD A., 1992. Review of the development of multidimensional scaling methods. The Statistician, 41, 27-39.
13. MILLIGAN G.W., COOPER M.C., 1986. A study of the comparability of external criteria for hierarchical cluster analysis. Multivariate Behavioral Research, 21, 441-458.
14. MILLIGAN G.W., COOPER, M.C., 1988. A study of standardization of variables in cluster analysis. J. Classif., 5, 181-204.
15. NUTE GR., MACFIE H.J.H., GREENHOFF K., 1989. Practical application of preference mapping. In : THOMSON D.M.H. (ed.) : Food Acceptability, 377-386, Elsevier Science Publishers Ltd, London.
16. PERYAM D.R., PILGRIM F.J., 1957. Hedonic scale method of measuring food preferences. Food Technol., 11, 9-14.
17. SAS INSTITUTE Inc., 1989. SAS/STAT User's Guide, Version 6, (Vol. 1 and 2), Fourth Edition, SAS INSTITUTE Inc. Cary, NC.
18. SCHIFFMAN S.S., REYNOLDS M.L., YOUNG F.W., 1981. Introduction to multidimensional scaling. Theory, methods and applications. Academic Press, Orlando.
19. SCHLICH P., 1993. Uses of change-over designs and repeated measurements in sensory and consumer studies. Food Qual. Prefer., 4, 223-235.
20. SCHLICH P., 1995. Preference mapping : relating consumer preferences to sensory or instrumental measurements. In : ETIEVANT P., SCHREIER P. (ed.), Bioflavour 95., 135-150, Inra Editions, Paris.
21. SCHLICH P., MCEWAN J.A., 1992. Cartographie des préférences. Un outil statistique pour l'industrie agro-alimentaire. Sci. Aliments, 12, 339-355.
22. STREET A.P., STREET D.J., 1987. Combinatorics of experimental design. Clarendon Press, Oxford.
23. TAKANE Y., YOUNG F.W., LEEUW J.D., 1977. Nonmetric individual differences scaling : an alternative least squares method with optimal scaling features. Psychometrika, 42, 3-27.
24. WAKELING I.N., MACFIE H.J.H., 1995. Designing consumer trials for first and higher orders of carry-over effect when only a subset of k samples from p may be tested. Food Qual. Prefer., 6, 299-308.
25. WILLIAMS E.J., 1949. Experimental designs balanced for the estimation of residual effects of treatments. Aust. J. Sci. Res., Ser. A, 2, 149-168.