Errors of misclassification and their probability distributions when the parent populations are Gompertz

被引：14

作者：

Moustafa, HM ^{[1
]}

Ramadan, SG ^{[1
]}

机构：

[1] Assiut Univ, Dept Math, Assiut 71516, Egypt

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2005年 / 163卷 / 01期

关键词：

Gompertz population; errors of misclassification; linear discriminant function; likelihood ratio rule; error rate;

D O I：

10.1016/j.amc.2004.02.006

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Classification problems associated with univariate Gompertz populations are studied. The robustness of the linear discriminant function, the normal classificatory rule, LDF when the underlying populations are Gompertz, is investigated. The errors of misclassification corresponding to LDF are compared with that due to the likelihood ratio LR rule for Gompertz populations. The asymptotic probability distributions for the actual error rates are derived, for large sample sizes. Theoretical and experimental comparisons are performed. (C) 2004 Elsevier Inc. All rights reserved.

引用

页码：423 / 442

页数：20

共 42 条

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