Locally D-optimal Designs for Exponential Regression

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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Year of publication:	2004
Authors:	Wong, Weng Kee ; Melas, Viatcheslav B. ; Dette, Holger
Publisher:	Dortmund : Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Subject:	Regression \| Modell-Spezifikation \| Theorie

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Series:	Technical Report ; 2004,20
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	391691899 [GVK] hdl:10419/22533 [Handle] RePEc:zbw:sfb475:200420 [RePEc]
Source:	EconStor

Persistent link: https://www.econbiz.de/10010296604