Alternative Approaches to Missing Values in Discriminant Analysis
作者:
LindaS. Chan,
JuneAono Gilman,
OliveJean Dunn,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1976)
卷期:
Volume 71,
issue 356
页码: 842-844
ISSN:0162-1459
年代: 1976
DOI:10.1080/01621459.1976.10480956
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper compares by simulations several methods of handling missing observations in discrimination. In an earlier paper, several methods were compared in discriminating by the usual linear discriminant function between two multivariate normal populations in which all pairs of variables are equally correlated. In the present study, a variety of population matrices was used and two additional methods were introduced: the first, a simpler regression technique and the second, a modified technique based on the first principal component. The new regression technique was found to give relatively high probabilities of correct classification.
点击下载:
PDF (342KB)
返 回