The Performance of Bootstrap Control Charts

Abstract

The 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.

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