Classiåcation of repeated observations based on the growth curve model
نویسندگان
چکیده
A classiåcation method for repeated observations is proposed. The method consists of two procedures. First, individual response proåles are åtted by the polynomial regression model. Next, the åtted regression coeécients are classiåed based on the normal mixture model. The procedures can be embedded in one model, i.e., the growth curve model with extended random eãects. It helps us to explore and describe unobserved background factors.
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تاریخ انتشار 2000