Locally D-optimal designs for exponential regression models

Holger Dette; Viatcheslav B. Melas; Weng Kee Wong

Locally D-optimal designs for exponential regression models

Holger Dette
, Viatcheslav B. Melas
, Weng Kee Wong

統計學系

研究成果: Article › 同行評審

30 引文斯高帕斯（Scopus）

摘要

We study locally D-optimal designs for some exponential models that are frequently used in the biological sciences. The model can be written as an algebraic sum of two or three exponential terms. We show that approximate locally D-optimal designs are supported at a minimal number of points and construct these designs numerically.

原文	English
頁（從 - 到）	789-803
頁數	15
期刊	Statistica Sinica
卷	16
發行號	3
出版狀態	Published - 2006 7月

All Science Journal Classification (ASJC) codes

統計與概率
統計、概率和不確定性

其它文件與鏈接

引用此

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AB - We study locally D-optimal designs for some exponential models that are frequently used in the biological sciences. The model can be written as an algebraic sum of two or three exponential terms. We show that approximate locally D-optimal designs are supported at a minimal number of points and construct these designs numerically.

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Locally D-optimal designs for exponential regression models

摘要

All Science Journal Classification (ASJC) codes

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