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The power of weighted and ordinary least squares with estimated unequal variances in experimental design

 

作者: J.P.C. Kleijnen,   P. Cremers,   F. Van Belle,  

 

期刊: Communications in Statistics - Simulation and Computation  (Taylor Available online 1985)
卷期: Volume 14, issue 1  

页码: 85-102

 

ISSN:0361-0918

 

年代: 1985

 

DOI:10.1080/03610918508812428

 

出版商: Marcel Dekker, Inc.

 

关键词: Student t test;bian;nRandahd emu4

 

数据来源: Taylor

 

摘要:

Response variances, var(yi), are estimated using replications for each experimental condition. The resulting estimated variances can be used to derive the correct variances of the Ordinary A 2 Least Squares (OLS) estimators β. The estimates si can also be used to compute the Estimated Weighted Least Squares (EWLS) estimators β*. The asymptotic covariance formula for EWLS might be utilized to test the EWLS estimators. The type I and type I1 errors of this test procedure are compared to the corresponding A errors for the OLS estimators β.

 

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