Robust Location Estimators for the Ū Control Chart

This article studies estimation methods for the location parameter. We consider several robust location estimators as well as several estimation methods based on a phase I analysis, i.e., the use of a control chart to study a historical dataset retrospectively to identify disturbances. In addition, we propose a new type of phase I analysis. The estimation methods are evaluated in terms of their mean-squared errors and their effect on the X control charts used for real-time process monitoring (phase II). It turns out that the phase I control chart based on the trimmed trimean far outperforms the existing estimation methods. This method has therefore proven to be very suitable for determining X phase II control chart limits.

[1]  Charles W. Champ,et al.  Effects of Parameter Estimation on Control Chart Properties: A Literature Review , 2006 .

[2]  John W. Tukey,et al.  Exploratory Data Analysis. , 1979 .

[3]  Lawrence G. Tatum Robust estimation of the process standard deviation for control charts , 1997 .

[4]  J. L. Hodges,et al.  Estimates of Location Based on Rank Tests , 1963 .

[5]  H. Weisberg Central tendency and variability , 1991 .

[6]  Charles P. Quesenberry,et al.  The Effect of Sample Size on Estimated Limits for and X Control Charts , 1993 .

[7]  G. Geoffrey Vining Technical Advice: Phase I and Phase II Control Charts , 2009 .

[8]  Douglas C. Montgomery,et al.  Research Issues and Ideas in Statistical Process Control , 1999 .

[9]  Mukund Raghavachari,et al.  Control chart based on the Hodges-Lehmann estimator , 1991 .

[10]  Hengjian Cui,et al.  On Weighted Randomly Trimmed Means , 2007, J. Syst. Sci. Complex..

[11]  Victoria S. Jordan,et al.  Distribution-Free Phase I Control Charts for Subgroup Location , 2009 .

[12]  David M. Rocke Robust control charts , 1989 .

[13]  Benjamin M. Adams,et al.  Robust Monitoring of Contaminated Data , 2005 .

[14]  Muhammad Riaz,et al.  Design and Analysis of Control Charts for Standard Deviation with Estimated Parameters , 2011 .

[15]  N. José Alberto Vargas,et al.  Robust Estimation in Multivariate Control Charts for Individual Observations , 2003 .

[16]  David M. Rocke Xq and Rq charts: Robust control charts , 1992 .