Discriminant Analysis When the Initial Samples Are Misclassified
Discriminant Analysis When the Initial Samples Are Misclassified
复制标题
初始样本错误分类时的判别分析
DOI：
10.1080/00401706.1966.10490409
复制
发表时间：
1966
期刊：
影响因子：
2.5
通讯作者：
P. Lachenbruch
中科院分区：
文献类型：
--
作者：
P. Lachenbruch
判别函数基于被假设正确分类的样本。如果原始样本中的某些成员被错误地分类，则判别函数的效用可能不会受到严重影响。
Discriminant functions are based on samples which are assumed to be correctly classified. If some members of the original samples are incorrectly classified the utility of the discriminant function may not be seriously affected.