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Profile Monitoring Using Nonparametric BootstrapT2Control Chart

Authors :
Mona Ayoubi
Rassoul Noorossana
Source :
Communications in Statistics - Simulation and Computation. 41:302-315
Publication Year :
2012
Publisher :
Informa UK Limited, 2012.

Abstract

In certain statistical process control applications, performance of a product or process can be monitored effectively using a linear profile or a linear relationship between a response variable and one or more explanatory variables. In this article, we design a nonparametric bootstrap control chart for monitoring simple linear profiles based on T 2 statistic. We evaluate the performance of the proposed method in phase II. The average and standard deviation of the run length under different shifts in the intercept, slope, and standard deviation are considered as the performance measures. Simulation results show that the performance of the proposed bootstrap control chart improves as the size of the available data increases.

Details

ISSN :
15324141 and 03610918
Volume :
41
Database :
OpenAIRE
Journal :
Communications in Statistics - Simulation and Computation
Accession number :
edsair.doi...........aba3278cf3f88e083267baba313640da
Full Text :
https://doi.org/10.1080/03610918.2011.588357