Abstract
Parameter estimates used in control charting, the sample mean and variance, are based on maximum likelihood estimation (MLE). Unfortunately, MLEs are not robust to contaminated data and can lead to improper conclusions regarding parameter values. This article proposes a more robust estimation technique; the minimized integrated square error estimator (L2E).
| Original language | English |
|---|---|
| Pages (from-to) | 300-312 |
| Number of pages | 13 |
| Journal | Journal of Modern Applied Statistical Methods |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| State | Published - May 2011 |
Scopus Subject Areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
Keywords
- L2E
- MLE
- Parameter estimation
- Phase I control charting
- SPC