DISTRIBUTION OF ESTIMATORS AND OPTIMAL EXPERIMENTAL-DESIGN IN NONLINEAR-REGRESSION

Authors
PAZMAN A
Citation
A. Pazman, DISTRIBUTION OF ESTIMATORS AND OPTIMAL EXPERIMENTAL-DESIGN IN NONLINEAR-REGRESSION, Kybernetika, 32(5), 1996, pp. 491-499
Citations number
17
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Cybernetics
Journal title
Kybernetika → ACNP
ISSN journal
00235954
Volume
32
Issue
5
Year of publication
1996
Pages
491 - 499
Database
ISI
SICI code
0023-5954(1996)32:5<491:DOEAOE>2.0.ZU;2-9
Abstract
In this survey we present in a condensed exposition good approximation s of probability densities of LS estimators in nonlinear regression mo dels. This includes also marginal densities or densities of scalar par ametric functions. Further, the main ideas of two approaches how to us e these densities for optimal experimental design are presented: the a pproach using the second order approximation technique, and the approa ch using optimality criteria in an integral form.