The Performance of Bootstrap Control Charts

Abstract

AbstractThe bootstrap is a statistical technique that substitutes computing-power for traditional parametric assumptions. Recently, several authors have considered the application of the bootstrap to statistical quality control charts. Simulation studies have been used to evaluate the performance of the bootstrap control charts. In most cases, the performance measures do not consider the average run lengths of the charts. In this paper, we discuss the proposed bootstrap control chart procedures. We provide extensive computer simulation results and evaluate the performance of each control chart in terms of the average run length.KeywordsBootstrap MethodsControl LimitsQuality ControlShewhart Control ChartsStatistical Process Control Additional informationNotes on contributorsL. Allison JonesDr. Jones is an Assistant Professor in the Department of Management Science. She is a Member of ASQ.William H. WoodallDr. Woodall is the Russell Professor of Statistics in the Department of Management Science and Statistics. He is a Senior Member of ASQ.