On Using Demographic Variables to Determine Segment Membership in Logit Mixture Models
提出一种扩展的逻辑斯蒂混合模型，将先验细分成员概率定义为人口统计变量的函数，并用番茄酱扫描数据展示该方法如何描述品牌偏好和营销敏感性与家庭特征的关系。
The authors propose an extension of the logit-mixture model that defines prior segment membership probabilities as functions of concomitant (demographic) variables. Using this approach it is possible to describe how membership in each of the segments, segments being characterized by a specific profile of brand preferences and marketing variable sensitivities, is related to household demographic characteristics. An empirical application of the methodology is provided using A.C. Nielsen scanner panel data on catsup. The authors provide a comparison with the results obtained using the extant methodology in estimation and validation samples of households.