A multidimensional approach to conjoint analysis
C. N. Lauro,
G. Giordano and
R. Verde
Applied Stochastic Models and Data Analysis, 1998, vol. 14, issue 4, 265-274
Abstract:
In this paper we propose an alternative approach to conjoint analysis (CA) based on the principal component analysis onto a reference sub‐space (PCAR). Following this technique, the results of a CA are considerably enriched by some graphical interpretation tools and optimal synthesis of the individual estimated part‐worth coefficients are also obtained with respect to hierarchized judges sub‐populations. Copyright © 1998 John Wiley & Sons, Ltd.
Date: 1998
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/(SICI)1099-0747(199812)14:43.0.CO;2-W
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:14:y:1998:i:4:p:265-274
Access Statistics for this article
More articles in Applied Stochastic Models and Data Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().