A Unifying Approach to Benefit Segmentation and Product Line Design Based on Rank Order Conjoint Data

Author:

Aust E.,Gaul W.

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. AUST, E., and GAUL, W. (1994): Decision Making Concerning Product Line Design Based on Conjoint Analysis. Proceedings of the 18. Symposium OR, Köln 1993. Physica Verlag.

2. BEN-AKIVA, M., MORIKAWA, T., and, SHIROISHI, F. (1992): Analysis of the Reliability of Preference Ranking Data. Journal of Business Research, 24, 149–164.

3. BOX, M.J. (1966): A Comparison of Several Current Optimization Methods, and the Use of Transformations in Constrained Problems. Computing Journal, 9, 67–77.

4. CHAPMAN, R.G., and STAELIN, R. (1982): Exploiting Rank Order Choice Set Data Within the Stochastic Utility Model. Journal of Marketing Research, 19, 288–301.

5. DEMPSTER, A.P., LAIRD, N.M., and RUBIN, D.B. (1977): Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society, B39, 1–38.

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