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A comparison of general-purpose optimization algorithms for finding optimal approximate experimental designs

  • Published:2020-04 Issue: Volume:144 Page:106844
  • ISSN:0167-9473
  • Container-title:Computational Statistics & Data Analysis
  • language:en
  • Short-container-title:Computational Statistics & Data Analysis

Author:

García-Ródenas RicardoORCID,García-García José CarlosORCID,López-Fidalgo Jesús,Martín-Baos José Ángel,Wong Weng Kee

Funder

National Institute of General Medical Sciences of the National Institutes of Health, USA

FEDER, Spain

University of Castilla–La Mancha, Spain

Ministerio de Economía, Industria y Competitividad — FEDER EU, Spain

Ministerio de Educación, Cultura y Deportes, Spain

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference77 articles.

1. Optimal experimental designs in the flow rate of particles;Amo-Salas;Technometrics,2016

2. Convergent design sequences, for sufficiently regular optimality criteria;Atwood;Ann. Statist.,1976

3. An Introduction to Optimal Designs for Social and Biomedical Research;Berger,2009

4. Optimum design of experiments for enzyme inhibition kinetic models;Bogacka;J. Biopharm. Statist.,2011

5. The experimental study of physical mechanisms;Box;Technometrics,1965

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