Testing process capability based onCpmin the presence of random measurement errors

DOI10.1080/02664760500164951zbMath1121.62468OpenAlexW2127888110MaRDI QIDQ3592053

Bi-Min Hsu, Ming-Hung Shu, Wen Lea Pearn

Publication date: 11 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760500164951

zbMATH Keywords

critical valueprocess capability analysislower confidence boundgauge measurement error

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

Performance comparison of generalized confidence interval and modified sampling distribution approaches for assessing one-sided capability indices with gauge measurement errors ⋮ Inference on C _pk for autocorrelated data in the presence of random measurement errors ⋮ Using a novel approach to assess process performance in the presence of measurement errors ⋮ Multivariate process capability using principal component analysis in the presence of measurement errors ⋮ Performance evaluation of processes with asymmetric tolerances in the presence of gauge measurement errors ⋮ Process performance evaluation based on Taguchi capability index with the consideration of measurement errors

Cites Work

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• On the distributions of the estimated process capability indices
• Distributional and inferential properties of the process accuracy and process precision indices
• Lower confidence bounds with sample size information for C_pm applied to production yield assurance

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