Bootstrap confidence intervals of generalized process capability indexCpykfor Lindley and power Lindley distributions

DOI10.1080/03610918.2017.1280166zbMath1392.62344OpenAlexW2573107880MaRDI QIDQ4563402

Chi-Hyuck Jun, Mahendra Saha, Sanku Dey, Sudhansu S. Maiti

Publication date: 1 June 2018

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

Full work available at URL: https://doi.org/10.1080/03610918.2017.1280166

zbMATH Keywords

weighted kappacombining categoriesinterobserver agreementsymmetric kappaunweighted kappa

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Exact distribution theory in statistics (62E15) Reliability and life testing (62N05)

Related Items (9)

Bootstrap confidence intervals of generalized process capability indexC_pykusing different methods of estimation ⋮ Parametric inference of the process capability index for exponentiated exponential distribution ⋮ A new control chart using GINI C_PK ⋮ Improved bootstrap confidence intervals for the process capability indexC_pk ⋮ Estimation based on hybrid censored data from the power Lindley distribution ⋮ Bootstrap confidence intervals of process capability indexS_pmkusing different methods of estimation ⋮ 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 indexC_pmkand its confidence intervals for normally distributed quality characteristic ⋮ Estimation of the generalized process capability indexC_pykbased on bias-corrected maximum-likelihood estimators for the generalized inverse Lindley distribution and bootstrap confidence intervals

Uses Software

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Cites Work

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• A two-parameter weighted Lindley distribution and its applications to survival data
• An extended Lindley distribution
• Lindley distribution and its application
• Power Lindley distribution and associated inference
• Bootstrap confidence interval estimates of c_pk: an introduction
• A robust process capability index
• Delicate relations among the basic process capability indices c_p, C_pkAND C_pm, AND THEIR MODIFICATIONS
• A process capability index for discrete processes
• Bootstrap confidence intervals of C_Npkfor inverse Rayleigh and log-logistic distributions

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