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.
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