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[BSS10] On the use of Weighted Regression in Conjoint Analysis
Conférence Internationale avec comité de lecture : COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris, August 2010, pp.777-784,
motcle:
Résumé:
Conjoint analysis seeks to explain an ordered categorical ordinal variable
according to several variables using a multiple regression scheme. A common
problem encountered, there, is the presence of missing values in classi cation-ranks.
In this paper, we are interested in the cases where consumers provide a ranking of some products instead of rating these products (i.e. explained variable presents missing values).In order to deal with this problem, we propose a weighted regression
scheme. We empirically show (in several cases of weighting) that, if the number of missing values is not too large, the data remain useful, and our results are close to those of the complete order. A simulation study con rms these ndings.
Equipe:
msdma
Collaboration:
CML
BibTeX
| @inproceedings { | |||
| BSS10, | |||
| title | = | "{On the use of Weighted Regression in Conjoint Analysis}", | |
| author | = | " S. Benammou and B. Souissi and G. Saporta ", | |
| booktitle | = | "{COMPSTAT'2010, 19th International Conference on Computational Statistics, Paris}", | |
| year | = | 2010, | |
| month | = | "August", | |
| pages | = | "777-784", | |
| } | |||
