Robustness of subset response surface designs to missing observations

DOI10.1016/j.jspi.2009.06.011zbMath1178.62084OpenAlexW2032017478MaRDI QIDQ1036708

Steven G. Gilmour, Tanvir Ahmad

Publication date: 13 November 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2009.06.011

zbMATH Keywords

missing observationsresponse surface methodologyminimax loss criterionprediction variancesubset design

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Response surface designs (62K20) Robust parameter designs (62K25)

Related Items (15)

Multilevel Augmented Pairs Second-Order Response Surface Designs and Their Robustness to Missing Data ⋮ Robustness of classical and optimal designs to missing observations ⋮ Factorial and response surface designs robust to missing observations ⋮ Some new third order designs robust to one missing observation ⋮ Prediction variance of a central composite design with missing observation ⋮ Comparisons of augmented pairs designs and subset designs ⋮ Robust optimal design when missing data happen at random ⋮ Effects of missing observations on predictive capability of augmented Box-Behnken designs ⋮ Robustness of orthogonal uniform composite designs against missing data ⋮ Robustness of definitive screening composite designs to missing observations ⋮ Robustness to missing observation and optimalities of response surface designs with regular and complex structure ⋮ The performance of subset response surface designs for estimating third order terms ⋮ Robustness of orthogonal-array based composite designs to missing data ⋮ Efficient response surface designs for the second-order multivariate polynomial model robust to missing observation ⋮ \(D\)-optimal orthogonal array minus \(t\) run designs

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Response surface design evaluation and comparison
• The robustness and optimality of response surface designs
• Response Surfaces, Mixtures, and Ridge Analyses
• Response surface designs robust to missing observations
• Response Surface Designs for Experiments in Bioprocessing

This page was built for publication: Robustness of subset response surface designs to missing observations