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Factorial Experiments With Time Trends

 

作者: DavidM. Steinberg,  

 

期刊: Technometrics  （Taylor Available online 1988）
卷期: Volume 30, issue 3  

页码: 259-269

 

ISSN:0040-1706

 

年代: 1988

 

DOI:10.1080/00401706.1988.10488399

 

出版商: Taylor & Francis Group

 

关键词: Factorial design;Two-level factorials;Time series;Partial spline models;Polynomial trends

 

数据来源: Taylor

 

摘要:

Time trends may affect the results of experiments that are conducted sequentially. A simple, yet powerful, way to model such an experiment is to represent the trend by an autoregressive integrated moving average time series model. I show how such models can be used to jointly estimate factorial and time-order effects and how they can be used as a diagnostic device to detect time trends in complex experiments.

 

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