Control Charts for Monitoring Burr Type-X Percentiles

Abstract

When the sampling distribution of a parameter estimator is unknown, using normality asymptotically, the Shewhart-type chart may provide improper control limits. To monitor Burr type-X percentiles, two parametric bootstrap charts (PBCs) are proposed and compared with the Shewhart-type chart via a Monte Carlo simulation. Simulation results exhibit that the proposed PBCs perform well with a short average run length to signal out-of-control when the process is out-of-control, and have more adequate control limits than the Shewhart-type chart in view of in-control false alarm rate. An example regarding single fiber strength is presented for illustrating the proposed PBCs.

Keywords:

• Average run length
• Control charts
• False alarm rate
• Parametric bootstrap
• Percentile
• Shewhart chart

Mathematics Subject Classification:

• Primary 62F40
• secondary 62P30

Acknowledgments

The authors thank the editor, associate editor, and anonymous referee for their comments and suggestions, which significantly improved this article.