Adding Explanatory Variables to a Consumer Purchase Behavior Model: An Exploratory Study
提出一种能纳入任意数量解释变量的随机选择模型，结合逻辑回归、异质性和产品类购买发生概念，探索性研究发现该模型在特定情境下拟合良好。
A new stochastic choice model is proposed which can incorporate any number of explanatory variables. The model combines logit regression, heterogeneity, and product class purchase incidence concepts. The authors describe an exploratory study of the model, in which it is found to fit a certain situation very well.