Graphical evaluation of prediction capability when the number of noise variable increases in robust parameter design

DOI10.1080/03610926.2022.2032166OpenAlexW4210625313MaRDI QIDQ6164728

JinHyoung Oh

Publication date: 28 July 2023

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2022.2032166

zbMATH Keywords

robust parameter designnoise variablesscaled prediction variancegraphical evaluation

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Quantile plots of the prediction variance for response surface designs
• Designs of Mixed Resolution for Process Robustness Studies
• Robust Design for Quality Engineering and Six Sigma
• Small Composite Designs
• Extended scaled prediction variance optimality for modified central composite design
• Graphical evaluation of robust parameter designs based on extended scaled prediction variance and extended spherical average prediction variance
• Smallest Composite Designs for Quadratic Response Surfaces
• Signal-to-Noise Ratios, Performance Criteria, and Transformations

This page was built for publication: Graphical evaluation of prediction capability when the number of noise variable increases in robust parameter design