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Article
A Simulation Study of the Relative Efficiency of the Minimized Integrated Square Error Estimator (L2E) For Phase I Control Charting
Journal of Modern Applied Statistical Methods
  • John N. Dyer, Georgia Southern University
Publication Date
5-1-2011
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).

DOI
10.22237/jmasm/1304223960
Citation Information
John N. Dyer. "A Simulation Study of the Relative Efficiency of the Minimized Integrated Square Error Estimator (L2E) For Phase I Control Charting" (2011)
Available at: http://works.bepress.com/dr_john_n_dyer/4/