Interval robust design under contaminated and non normal data

DOI10.1080/03610926.2019.1710198OpenAlexW3003260638MaRDI QIDQ5078033

Melis Zeybek

Publication date: 20 May 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2019.1710198

zbMATH Keywords

confidence intervaldual response surfacerobust parameter designnon normal data

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• A new nonlinear interval programming method for uncertain problems with dependent interval variables
• A midpoint-radius approach to regression with interval data
• A robust desirability function method for multi-response surface optimization considering model uncertainty
• Estimation in Second-Order Models with Errors in the Factor Levels
• A General Approach to Confidence Regions for Optimal Factor Levels of Response Surfaces
• Modified t Tests and Confidence Intervals for Asymmetrical Populations
• The effects of gamma noise on quality improvement
• Development of a highly efficient and resistant robust design

This page was built for publication: Interval robust design under contaminated and non normal data