Monitoring General Linear Profiles When Random Errors Have Contaminated Normal Distributions
نویسندگان
چکیده
We consider the quality of a process which can be characterized by a general linear profile where the random error has a contaminated normal distribution. On the basis of trimmed least squares estimation, new control charts for monitoring the coefficient parameters and/or the error variance of the profile are proposed. Simulation studies show that the proposed control charts outperform the existing competitors under such a profile. An example from manufacturing facility is used to illustrate the applicability of the proposed charts. Copyright © 2013 John Wiley & Sons, Ltd.
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ورودعنوان ژورنال:
- Quality and Reliability Eng. Int.
دوره 30 شماره
صفحات -
تاریخ انتشار 2014