Arbeitspapier

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.

Language
Englisch

Bibliographic citation
Series: Technical Report ; No. 2004,20

Subject
Regression
Modell-Spezifikation
Theorie

Event
Geistige Schöpfung
(who)
Wong, Weng Kee
Melas, Viatcheslav B.
Dette, Holger
Event
Veröffentlichung
(who)
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
(where)
Dortmund
(when)
2004

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Wong, Weng Kee
  • Melas, Viatcheslav B.
  • Dette, Holger
  • Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen

Time of origin

  • 2004

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