On classification of multiple observations with application to marketing analysis

In this paper, we study the likelihood procedure test (LPT) criterion for classification of the two-group multiple observations model, and derive the criterion under different parametric assumptions. A real life marketing data analysis is presented for illustrating the classification method introduced in this paper. It turns out that the LPT method is a useful alternative method in classification of multiple observations model.