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An Approximate Confidence Interval for the Mean of the Dependent Variable in a Random One-Way Classification with Covariates

 

作者: Keith Kussmaul,  

 

期刊: Technometrics  （Taylor Available online 1979）
卷期: Volume 21, issue 1  

页码: 111-117

 

ISSN:0040-1706

 

年代: 1979

 

DOI:10.1080/00401706.1979.10489729

 

出版商: Taylor & Francis Group

 

关键词: Regression;Conlidence intervals;Covariates;Random classes;Simulation;One-way classification

 

数据来源: Taylor

 

摘要:

Consider a dependent variableylinearly related to one or more independent variables, where several parallel lines must be used to model the relationship due to data points occurring in distinct batches or random observation classes. We suggest an approximate confidence interval for the expected value ofyat a specified point in the space of the independent variables. The approach stems from a distributional approximation and is supported by a limited simulation.

 

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