A robust process capability index

DOI10.1080/03610919808813495zbMath1030.62540OpenAlexW2046652816MaRDI QIDQ4232094

Sumankumar Bhattacharya, Arthur B. Yeh

Publication date: 12 February 2004

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610919808813495

zbMATH Keywords

bootstrap confidence intervals\(BC_a\) methodprobability of non-conformance

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Applications of statistics in engineering and industry; control charts (62P30)

Related Items (6)

Bootstrap confidence intervals of generalized process capability indexC_pykfor Lindley and power Lindley distributions ⋮ Inference of process capability index \(C_{\text{py}}\) for 3-Burr-XII distribution based on progressive type-II censoring ⋮ Process capability analysis for serially dependent processes of Poisson counts ⋮ A process capability index for discrete processes ⋮ Bayesian estimation of generalized process capability indices ⋮ Evaluating capability of a process with ordinal responses

Cites Work

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• Estimating tails of probability distributions
• Theoretical comparison of bootstrap confidence intervals
• Statistical inference using extreme order statistics
• A simple general approach to inference about the tail of a distribution
• Bootstrap confidence intervals. With comments and a rejoinder by the authors
• A study of logspline density estimation
• How Reliable is Your Capability Index?
• Some Process Capability Indices are More Reliable than One Might Think
• The bootstrap and Edgeworth expansion

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