Majid Khedmati

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In this paper, we first propose a maximum likelihood estimator (MLE) of a change point in highyield processes, where the only assumption is that the change belongs to a family of monotonic changes. Following a signal from the cumulative count of conforming (CCC) control chart, the performance of the proposed monotonic change-point estimator is next(More)
In this paper, an approach based on the U statistic is first proposed to eliminate the effect of between profile autocorrelation of error terms in Phase-II monitoring of general linear profiles. Then, a control chart based on the adjusted parameter estimates is designed to monitor the parameters of the model. The performance of the proposed method is(More)
In this paper, the general linear profile-monitoring problem in multistage processes is addressed. An approach based on the U statistic is first proposed to remove the effect of the cascade property in multistage processes. Then, the 2 T chart and an LRT-based scheme on the adjusted parameters are constructed for Phase-I monitoring of the parameters of(More)
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