Weighted A-optimality criterion for generating robust mixture designs-Reference-Cited by-同舟云学术

Weighted A-optimality criterion for generating robust mixture designs

Published:2018-11 Issue: Volume:125 Page:348-356
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Limmun Wanida,Borkowski John J.,Chomtee Boonorm

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference27 articles.

1. An evolutionary algorithm for A-optimal incomplete block designs;Angelis;Journal of Statistical Computation and Simulation,2003

2. Optimal experimental design, with SAS;Atkinson,2007

3. Using a genetic algorithm to generate small exact response surface designs;Borkowski;Journal of Probability and Statistical Science,2003

4. Using weak and strong heredity to generate weighted design optimality criteria for response surface designs;Borkowski;Journal of Statistical Theory and Applications,2011

5. A combined array approach to minimise expected prediction errors in experimentation involving mixture and process variables;Chantarat;International Journal of Industrial and Systems Engineering,2006

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Finding Robust Response Surface Designs With Blocking Using a Model-Weighted A-Optimality Criterion;International Journal of Analysis and Applications;2024-09-02

2. Generating Robust Optimal Mixture Designs Due to Missing Observation Using a Multi-Objective Genetic Algorithm;Mathematics;2023-08-17

3. Weighted R-efficiency optimal design for experiments with mixture;Communications in Statistics - Theory and Methods;2022-07-08

4. Mixture Design: Development of a Graphical User Interface for Determining Mixture Parameters;2022 17th Iberian Conference on Information Systems and Technologies (CISTI);2022-06-22

5. Signals classification based on IA-optimal CNN;Neural Computing and Applications;2021-05-27