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Trends in Applied Sciences Research
  Year: 2011 | Volume: 6 | Issue: 10 | Page No.: 1172-1184
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The Performance of Robust Control Chart for Change in Variance

Ng Kooi Huat and Habshah Midi

A control chart for detecting shifts in the variance of a process is developed for the case where the nominal value of variance is unknown. The Shewhart S control chart is one of the most extensively used statistical process control techniques developed for control process variability based on essential assumption that the underlying distribution of the quality characteristic is normal. However, this chart is very sensitive to the occurrence of occasional outliers. As an alternative, robust control charts are put forward when the underlying normality assumption is not met. In this study, a robust control chart for the process standard deviation σ by means of a robust scale estimator is proposed. The presented robust method seems to yield a better performance than the Shewhart method and had good properties for the contaminated and heavy-tailed distribution for moderate sample sizes. The proposed robust Modified biweight A chart acts as an alternative for practitioners who are interested in the detection of permanent shifts in the process variance whereby the presence of occasional outliers is usually associated with the occurrence of common causes.
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  •    A Control Chart Based on Ranked Data
  •    Effect of Scale Parameters in the Performance of Shewhart Control Chart with Interpretation Rules
  •    Performance Measure of Shewhart Control Chart for Armature Resistance Process
  •    High Breakdown Estimators to Robustify Phase II Multivariate Control Charts
  •    The Performance of Robust Multivariate Statistical Control Charts based on Different Cutoff-points with Sustained Shift in Mean
How to cite this article:

Ng Kooi Huat and Habshah Midi, 2011. The Performance of Robust Control Chart for Change in Variance. Trends in Applied Sciences Research, 6: 1172-1184.





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