Bootstrap confidence intervals of generalized process capability indexCpykusing different methods of estimation

DOI10.1080/02664763.2019.1572721OpenAlexW2914116596MaRDI QIDQ5036632

Sanku Dey, Mahendra Saha

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

zbMATH Keywords

maximum likelihood estimatorbootstrap confidence intervalspercentile estimatormaximum product spacing estimatorCramèr-von-Mises estimatorgeneralized process capability index

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

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 indexC_pmkand its confidence intervals for normally distributed quality characteristic ⋮ Process capability indices in normal distribution with the presence of outliers

Uses Software

• R

Cites Work

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• The efficacy of process capability indices using median absolute deviation and their bootstrap confidence intervals
• Kurtosis of the logistic-exponential survival distribution
• Capability indices for Birnbaum–Saunders processes applied to electronic and food industries
• The logistic–exponential survival distribution
• Bootstrap confidence interval estimates of c_pk: an introduction
• Bootstrap confidence intervals of generalized process capability indexC_pykfor Lindley and power Lindley distributions
• Discriminating among Weibull, log-normal, and log-logistic distributions
• Bootstrap confidence intervals of C_Npkfor inverse Rayleigh and log-logistic distributions

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