Answers are grounded in this paper and cite their sources.
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.
No takes yet. Share an insight, caveat, or question.
Jones et al. (1998) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: