Classification Based on Tree-Structured Allocation Rules.

CLASSIFICATION; DISCRIMINANT analysis; LOGISTIC regression analysis; MONTE Carlo method; MATHEMATICAL analysis; RESEARCH

The authors consider the problem of classifying an unknown observation into 1 of several populations by using tree-structured allocation rules. Although many parametric classification procedures are robust to certain assumption violations, there is need for classification procedures that can be used regardless of the group-conditional distributions that underlie the model. The authors discuss the tree-structured allocation rule. The tree rule is compared with linear discriminant and logistic regression procedures via Monte Carlo and real data analysis. [ABSTRACT FROM AUTHOR]

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