Abstract #302272

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JSM 2003 Abstract #302272
Activity Number: 21
Type: Contributed
Date/Time: Sunday, August 3, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #302272
Title: Estimation of Joint Distribution from Marginal Distributions
Author(s): Krzysztof Dzieciolowski*+ and Yogendra P. Chaubey and Fassil Nebebe and Debaraj Sen
Companies: Bell Canada and Concordia University and Concordia University and Concordia University
Address: Bureau Marketing Centre, Montreal QC, , H3B 4L1, Canada
Keywords: survey ; joint distribution ; marginal distribution ; Bayesian ; demographic data
Abstract:

In many consumer surveys, demographic and other data are used as covariates for predictions of consumer preferences and other decision variables. However, to protect the confidentiality of the consumers, the data are only available in marginal frequency distribution format. This creates a problem in predicting joint frequencies required for further decision-making. In this paper we consider the dependence structure in formulating the joint distribution. This is further contrasted with a Bayesian approach on some consumer survey data.

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