Bootstrap confidence intervals of generalized process capability indexCpykusing different methods of estimation
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Publication:5036632
DOI10.1080/02664763.2019.1572721OpenAlexW2914116596MaRDI QIDQ5036632
Publication date: 23 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2019.1572721
maximum likelihood estimatorbootstrap confidence intervalspercentile estimatormaximum product spacing estimatorCramèr-von-Mises estimatorgeneralized process capability index
Related Items (4)
Parametric inference of the process capability index for exponentiated exponential distribution ⋮ Confidence intervals of the index \(C_{pk}\) for normally distributed quality characteristics using classical and Bayesian methods of estimation ⋮ Classical and Bayesian estimation of the indexCpmkand its confidence intervals for normally distributed quality characteristic ⋮ Process capability indices in normal distribution with the presence of outliers
Uses Software
Cites Work
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- Kurtosis of the logistic-exponential survival distribution
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- Bootstrap confidence intervals of generalized process capability indexCpykfor Lindley and power Lindley distributions
- Discriminating among Weibull, log-normal, and log-logistic distributions
- Bootstrap confidence intervals of CNpkfor inverse Rayleigh and log-logistic distributions
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