COMPARISON OF LINEAR AND QUADRATIC DISCRIMINANT FUNCTIONS
成果类型：
Article
署名作者：
WAKAKI, H
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2336069
发表日期：
1990
页码：
227229
关键词：
摘要：
Asymptotic expansions of the distributions of the linear and the quadratic discriminant functions are derived. The expected misclassification probabilities of these two functions are compared when the covariance matrices are proportional and the sample sizes are equal. Some numerical experiments are carried out to investigate the relation between the parameters and the boundary point such that if the sample size is smaller than the point the linear discriminant function is better than the quadratic discriminant function.
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