Latent class metric conjoint analysis

Wayne S. Desarbo; Michel Wedel; Marco Vriens; Venkatram Ramaswamy

doi:10.1007/BF00994135

Latent class metric conjoint analysis

Wayne S. Desarbo, Michel Wedel, Marco Vriens, Venkatram Ramaswamy

Marketing

Research output: Contribution to journal › Article › peer-review

134 Scopus citations

Abstract

A latent class methodology for conjoint analysis is proposed, which simultaneously estimates market segment membership and part-worth utilities for each derived market segment using mixtures of multivariate conditional normal distributions. An E-M algorithm to estimate the parameters of these mixtures is briefly discussed. Finally, an application of the methodology to a commercial study (pretest) examining the design of a remote automobile entry device is presented.

Original language	English (US)
Pages (from-to)	273-288
Number of pages	16
Journal	Marketing Letters
Volume	3
Issue number	3
DOIs	https://doi.org/10.1007/BF00994135
State	Published - Jul 1992

All Science Journal Classification (ASJC) codes

Business and International Management
Economics and Econometrics
Marketing

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10.1007/BF00994135

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title = "Latent class metric conjoint analysis",

abstract = "A latent class methodology for conjoint analysis is proposed, which simultaneously estimates market segment membership and part-worth utilities for each derived market segment using mixtures of multivariate conditional normal distributions. An E-M algorithm to estimate the parameters of these mixtures is briefly discussed. Finally, an application of the methodology to a commercial study (pretest) examining the design of a remote automobile entry device is presented.",

author = "Desarbo, {Wayne S.} and Michel Wedel and Marco Vriens and Venkatram Ramaswamy",

year = "1992",

month = jul,

doi = "10.1007/BF00994135",

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volume = "3",

pages = "273--288",

journal = "Marketing Letters",

issn = "0923-0645",

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T1 - Latent class metric conjoint analysis

AU - Desarbo, Wayne S.

AU - Wedel, Michel

AU - Vriens, Marco

AU - Ramaswamy, Venkatram

PY - 1992/7

Y1 - 1992/7

N2 - A latent class methodology for conjoint analysis is proposed, which simultaneously estimates market segment membership and part-worth utilities for each derived market segment using mixtures of multivariate conditional normal distributions. An E-M algorithm to estimate the parameters of these mixtures is briefly discussed. Finally, an application of the methodology to a commercial study (pretest) examining the design of a remote automobile entry device is presented.

AB - A latent class methodology for conjoint analysis is proposed, which simultaneously estimates market segment membership and part-worth utilities for each derived market segment using mixtures of multivariate conditional normal distributions. An E-M algorithm to estimate the parameters of these mixtures is briefly discussed. Finally, an application of the methodology to a commercial study (pretest) examining the design of a remote automobile entry device is presented.

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U2 - 10.1007/BF00994135

DO - 10.1007/BF00994135

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SP - 273

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JO - Marketing Letters

JF - Marketing Letters

IS - 3

ER -

Latent class metric conjoint analysis

Abstract

All Science Journal Classification (ASJC) codes

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