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On the numerical construction of optimal designs of regression experiments
Stockholm University, Faculty of Science, Numerical Analysis and Computer Science (NADA).
1985 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

A class of efficient methods for the numerical solution of the problem of Optimal Experimental Design is developed and tested on typical examples for D— and A—optimal design. Equivalence theorems are derived by Kuhn-Tucker conditions and the feasible directions approach of Nonlinear Programming. A method for construction of the initial approximation in the case of D—optimal design is proposed and tested. The method yields the exact solution in many cases. Newton’s methods are tested in the D—optimal design case.

Place, publisher, year, edition, pages
Stockholm: Stockholm University, 1985. , p. 4
National Category
Mathematics
Identifiers
URN: urn:nbn:se:su:diva-172828Libris ID: 498570OAI: oai:DiVA.org:su-172828DiVA, id: diva2:1350022
Public defence
1985-05-29, Kollegiesalen, KTH:s administrationsbyggad, Valhallavägen 79, Stockholm, 13:30
Note

Härtill 2 uppsatser

Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-11-19Bibliographically approved

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