Analyzing Marketing Research Data with Incomplete Information on the Dependent Variable
Journal of Marketing ResearchPublished 1 February 1987
Naresh K. Malhotra
Citations89
SJR quartileQ1
SJR score6.96
SNIP2.42
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TL;DR
A model is proposed for analyzing incomplete data in an important class of problems in marketing research and some of the advantages and limitations of the approach are discussed.
Abstract
The author presents the general EM algorithm for analyzing incomplete data. As a specific application of the EM algorithm, a model is proposed for analyzing incomplete data in an important class of problems in marketing research. A simple estimation procedure also is developed. The model is investigated through Monté Carlo studies as well as empirically with encouraging results. Some of the advantages and limitations of the approach are discussed.
Keywords
Agricultural and Biological SciencesEconomics, Econometrics and FinanceBusiness, Management and Accounting
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