R-optimal designs for second-order Scheffé model with qualitative factors

Considering a mixture model with qualitative factors, the R-optimal design problem is investigated when the levels of the qualitative factor interact with the mixture factors. In this paper, the conditions for R-optimality of designs with mixture and qualitative factors are presented. General analyt...

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Main Authors: Ling LingChongqi Zhang, Guanghui Li, Xiaoyuan Zhu, Chongqi Zhang
Format: Article
Language:English
Published: AIMS Press 2022-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2022253?viewType=HTML
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author Ling LingChongqi Zhang
Guanghui Li
Xiaoyuan Zhu
Chongqi Zhang
author_facet Ling LingChongqi Zhang
Guanghui Li
Xiaoyuan Zhu
Chongqi Zhang
author_sort Ling LingChongqi Zhang
collection DOAJ
description Considering a mixture model with qualitative factors, the R-optimal design problem is investigated when the levels of the qualitative factor interact with the mixture factors. In this paper, the conditions for R-optimality of designs with mixture and qualitative factors are presented. General analytical expressions are also derived for the decision function under the R-optimal designs, in order to verify that the resulting designs satisfy the general equivalence theorem. In addition, the relative efficiency of the R-optimal design is discussed.
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spelling doaj.art-9d1914b372b14bfdad8ce2dfe334e8b42022-12-22T04:09:56ZengAIMS PressAIMS Mathematics2473-69882022-01-01734540455110.3934/math.2022253R-optimal designs for second-order Scheffé model with qualitative factorsLing LingChongqi Zhang0Guanghui Li1Xiaoyuan Zhu 2Chongqi Zhang31. School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China2. School of Science, Kaili University, Kaili 556011, China1. School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China1. School of Economics and Statistics, Guangzhou University, Guangzhou 510006, ChinaConsidering a mixture model with qualitative factors, the R-optimal design problem is investigated when the levels of the qualitative factor interact with the mixture factors. In this paper, the conditions for R-optimality of designs with mixture and qualitative factors are presented. General analytical expressions are also derived for the decision function under the R-optimal designs, in order to verify that the resulting designs satisfy the general equivalence theorem. In addition, the relative efficiency of the R-optimal design is discussed.https://www.aimspress.com/article/doi/10.3934/math.2022253?viewType=HTMLmixture experimentsqualitative factorsr-optimalityequivalence theorem
spellingShingle Ling LingChongqi Zhang
Guanghui Li
Xiaoyuan Zhu
Chongqi Zhang
R-optimal designs for second-order Scheffé model with qualitative factors
AIMS Mathematics
mixture experiments
qualitative factors
r-optimality
equivalence theorem
title R-optimal designs for second-order Scheffé model with qualitative factors
title_full R-optimal designs for second-order Scheffé model with qualitative factors
title_fullStr R-optimal designs for second-order Scheffé model with qualitative factors
title_full_unstemmed R-optimal designs for second-order Scheffé model with qualitative factors
title_short R-optimal designs for second-order Scheffé model with qualitative factors
title_sort r optimal designs for second order scheffe model with qualitative factors
topic mixture experiments
qualitative factors
r-optimality
equivalence theorem
url https://www.aimspress.com/article/doi/10.3934/math.2022253?viewType=HTML
work_keys_str_mv AT linglingchongqizhang roptimaldesignsforsecondorderscheffemodelwithqualitativefactors
AT guanghuili roptimaldesignsforsecondorderscheffemodelwithqualitativefactors
AT xiaoyuanzhu roptimaldesignsforsecondorderscheffemodelwithqualitativefactors
AT chongqizhang roptimaldesignsforsecondorderscheffemodelwithqualitativefactors