A bootstrap control chart for inverse Gaussian percentiles

DOI10.1080/00949650802627402zbMath1187.62208OpenAlexW1992102525MaRDI QIDQ3564760

Chanseok Park, Yuhlong Lio

Publication date: 26 May 2010

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650802627402

zbMATH Keywords

percentilefalse alarm rateparametric bootstrapcontrol chartsShewhart chartaverage run length (ARL)inverse Gaussian (Wald) distribution

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Applications of statistics in engineering and industry; control charts (62P30) Bootstrap, jackknife and other resampling methods (62F40) Monte Carlo methods (65C05)

Related Items (6)

Unnamed Item ⋮ Parametric bootstrap process capability index control charts for both mean and dispersion ⋮ Unnamed Item ⋮ Control Charts for Monitoring Burr Type-X Percentiles ⋮ Robust estimation and testing in one-way ANOVA for Type II censored samples: skew normal error terms ⋮ A robust bootstrap control chart for the log-logistic percentiles

Uses Software

• R
• SuppDists

Cites Work

• Unnamed Item
• Accelerated test models with the inverse Gaussian distribution
• Bootstrap: more than a stab in the dark? With discussion and a rejoinder by the author
• Sprt and cusum results for inverse gaussian processes
• A modified Kolmogorov-Smirnov test for the inverse gaussian density with unknown parameters
• INVERSE GAUSSIAN CONTROL CHARTS
• Fatigue Failure Models ߝ Birnbaum-Saunders vs. Inverse Gaussian
• Stochastic models of failure in random environments
• Control Charts for Dependent and Independent Measurements Based on Bootstrap Methods
• Inverse Gaussian Control Charts for Monitoring Process Variability

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