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D-optimality andD n -optimal designs for mixtures regression models with logarithmic terms

D-optimality andD n -optimal designs for mixtures regression models with logarithmic terms In this paper the authors put forward a new mixtures regression models with Logarithmic terms[14] to generalize Draper's models[1, 2 or 6] by using Kiefer-Wolfowitz's equivalence theorem[3], Fedorov's and Wynn's method[5]. And we also suggest a method for computer-aided design of combinatorial search[13]. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Mathematicae Applicatae Sinica Springer Journals

D-optimality andD n -optimal designs for mixtures regression models with logarithmic terms

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Publisher
Springer Journals
Copyright
Copyright © 1987 by Science Press, Beijing, China and Allerton Press, Inc. New York, U.S.A.
Subject
Mathematics; Applications of Mathematics; Math Applications in Computer Science; Theoretical, Mathematical and Computational Physics
ISSN
0168-9673
eISSN
1618-3932
DOI
10.1007/BF02112642
Publisher site
See Article on Publisher Site

Abstract

In this paper the authors put forward a new mixtures regression models with Logarithmic terms[14] to generalize Draper's models[1, 2 or 6] by using Kiefer-Wolfowitz's equivalence theorem[3], Fedorov's and Wynn's method[5]. And we also suggest a method for computer-aided design of combinatorial search[13].

Journal

Acta Mathematicae Applicatae SinicaSpringer Journals

Published: Aug 6, 2005

References