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"Chain pooling" model selection for two-level fixed effects factorial experiments

 

作者: Arthur G. Holms,  

 

期刊: Communications in Statistics - Simulation and Computation  (Taylor Available online 1980)
卷期: Volume 9, issue 1  

页码: 51-71

 

ISSN:0361-0918

 

年代: 1980

 

DOI:10.1080/03610918008812137

 

出版商: Taylor & Francis Group

 

关键词: statistics and probability;subset regression;variable selection;factorial experiments;regression analysis;backward elimination;model selection;chain pooling

 

数据来源: Taylor

 

摘要:

As many as three iterated statistical model deletion procedures are considered for an experiment.Population model coeff cients were chosen to simulate a saturated 24experiment having an unfavorable distribution of parameter values.Using random number studies, three model selection strategies were developed, namely, (1) a strategy to be used in anticipation of large coefficients of variation (neighborhood of 65 percent), (2) strategy to be used in anticipation of small coefficients of variation (4 percent or less), and (3) a security regret strategy to be used in the absence of such prior knowledge

 

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