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Some Expected Values for Probabilities of Correct Classification in Discriminant Analysis

 

作者: OliveJean Dunn,  

 

期刊: Technometrics  （Taylor Available online 1971）
卷期: Volume 13, issue 2  

页码: 345-353

 

ISSN:0040-1706

 

年代: 1971

 

DOI:10.1080/00401706.1971.10488789

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Monte Carlo estimates have been obtained for two quantities of interest in a discriminant analysis involving the usual linear discriminant function. The first is the unconditional probability of correct classification; the second is the expected value of its estimate based on the calculated Mahalanobis distance.

 

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