ASYMPTOTIC EXPANSIONS FOR THE MEANS AND VARIANCES OF ERROR RATES
成果类型：
Article
署名作者：
SCHERVISH, MJ
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
发表日期：
1981
页码：
295299
关键词：
摘要：
The problem of classifying an observation X into 1 of k multivariate normal distributions is considered. When samples are used to estimate the population parameters, the probabilities of correct classification and the associated error rates are random variables. Asymptotic expansions for the expected values and variances of these random variables, in terms of the inverses of the sample sizes, are found. Simulations were performed to evaluate the expansions.