Analyzing Marketing Research Data with Incomplete Information on the Dependent Variable
提出用EM算法分析因变量不完整的营销研究数据，并开发了简单估计方法，通过蒙特卡洛研究和实证检验验证了效果。
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.