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Estimation of Industrial Process Capabilities: Some Estimators to Overcome the Obstacle of Non-normal Distributions

By Ming-Hung Shu Department, Ming-hung Shu, Bi-min Hsu and Chien-pai Han


In this research, we propose to use the smooth adaptive estimator to estimate the process mean. Since the smooth adaptive estimator is robust for non-normal processes and outliers, it can be used in the estimator of the Process Capability Indices (PCIs). The resulting indices are called smooth adaptive PCIs, which will also be robust estimators. We simu late extensively the biases and mean square errors of these smooth adaptive PCIs. In many cases the mean square errors of the smooth adaptive PCIs are smaller than those of the classical estimators

Topics: Smooth Adaptive Estimators, Order Statistics, Mean Square Error
Year: 2007
OAI identifier: oai:CiteSeerX.psu:
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