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A Note on the Role of Independence intStatistics Constructed From Linear Statistics in Regression Models

 

作者: LynnRoy Lamotte,  

 

期刊: The American Statistician  （Taylor Available online 1994）
卷期: Volume 48, issue 3  

页码: 238-240

 

ISSN:0003-1305

 

年代: 1994

 

DOI:10.1080/00031305.1994.10476065

 

出版商: Taylor & Francis Group

 

关键词: Nonorthogonality;Restricted least squares;Test statistics in regression

 

数据来源: Taylor

 

摘要:

Some Studentized linear estimates do not follow Student'stdistributions because the numerator and denominator are not independent. Recognized in residuals, the problem can occur in other contexts as well. A remedy is easily obtained by adding another predictor variable to the regression model that removes the shared degree of freedom.

 

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