Control Charts for Monitoring Burr Type-X Percentiles

DOI10.1080/03610918.2012.714033zbMath1291.62078OpenAlexW2068929969MaRDI QIDQ5415883

Nan Jiang, Tzong-Ru Tsai, Muhammad Aslam, Yuhlong Lio

Publication date: 19 May 2014

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

Full work available at URL: https://doi.org/10.1080/03610918.2012.714033

zbMATH Keywords

percentilefalse alarm rateparametric bootstrapcontrol chartsaverage run lengthshewhart chart

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (5)

Unnamed Item ⋮ Unnamed Item ⋮ Sensitivity Analyses of the Economic and Economic Statistical Designs of the Multivariate SyntheticT²Chart ⋮ A robust bootstrap control chart for the log-logistic percentiles ⋮ Inferences for stress–strength reliability of Burr Type X distributions based on ranked set sampling

Uses Software

• R

Cites Work

• Generalized Rayleigh distribution: different methods of estimations
• Empirical Bayes estimation of \(P(Y<X)\) and characterizations of Burr-type \(X\) model
• Accelerated test models with the inverse Gaussian distribution
• Bootstrap: more than a stab in the dark? With discussion and a rejoinder by the author
• Order statistics from the Burr type \(X\) model
• Bayesian prediction bounds for the burr type X model
• A bootstrap control chart for inverse Gaussian percentiles
• Exponentiated Weibull family for analyzing bathtub failure-rate data
• Cumulative Frequency Functions
• Inference for reliability and stress-strength for a scaled Burr type \(X\) distribution

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