G-optimal designs for multi-factor experiments with heteroscedastic errors

Weng Kee Wong

doi:10.1016/0378-3758(94)90146-5

G-optimal designs for multi-factor experiments with heteroscedastic errors

Weng Kee Wong

統計學系

研究成果: Article › 同行評審

27 引文斯高帕斯（Scopus）

摘要

We consider constructing G-optimal designs for multi-factor experiments when the errors are heteroscedastic. The method is illustrated with examples assuming the Kronecker product models and the additive models. Sufficient conditions are given so that G-optimal designs for the multi-factor experiments can be constructed from the optimal designs for the single-factor experiments.

原文	English
頁（從 - 到）	127-133
頁數	7
期刊	Journal of Statistical Planning and Inference
卷	40
發行號	1
DOIs	https://doi.org/10.1016/0378-3758(94)90146-5
出版狀態	Published - 1994 6月

All Science Journal Classification (ASJC) codes

統計與概率
統計、概率和不確定性
應用數學

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10.1016/0378-3758(94)90146-5

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引用此

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G-optimal designs for multi-factor experiments with heteroscedastic errors

摘要

All Science Journal Classification (ASJC) codes

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