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Robustness of response surface designs to missing data
Author(s) -
Alrweili Hleil,
Georgiou Stelios,
Stylianou Stella
Publication year - 2019
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2524
Subject(s) - robustness (evolution) , minimax , missing data , computer science , response surface methodology , mathematics , statistics , mathematical optimization , biochemistry , chemistry , gene
In this paper, minimax loss response surface designs are constructed. These designs are more robust to one missing design point than the original designs. The proposed designs are compared with the designs in the literature, and they are better in terms of loss and number of runs. Moreover, the new suggestion for the value of α generates designs not only with less losses but also with higher D‐efficiency.