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Large-Sample Covariance Analysis when the Control Variable is Fallible

 

作者: FredericM. Lord,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1960）
卷期: Volume 55, issue 290  

页码: 307-321

 

ISSN:0162-1459

 

年代: 1960

 

DOI:10.1080/01621459.1960.10482065

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

When the control variable contains errors of measurement, the usual analysis of covariance fails to adjust adequately for initial differences between groups. A large-sample significance test is presented here for the case where the fallible control variable has been measured in duplicate.

 

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