THE PERFORMANCE OF BOOTSTRAP CONTROL CHARTS

The bootstrap is a statistical technique that substitutes computing-po wer for traditional parametric assumptions. Recently, several authors have considered the application of the bootstrap to statistical qualit y control charts. Simulation studies have been used to evaluate the pe rformance of the bootstrap control charts. In most cases, the performa nce measures do not consider the average run lengths of the charts. In this paper, we discuss the proposed bootstrap control chart procedure s. We provide extensive computer simulation results and evaluate the p erformance of each control chart in terms of the average run length.