Add to ORKGWe introduce a general theoretical framework, based on the Markov chain imbedding approach, that leads to the run-length distribution for a multitude of control charts that are based on a simple rule or on a compound set of rules.Control charts Markov chain Transition matrix Discretization
To evaluate the surveillance performance of a control chart with the charting statistic of the sum o...
This study investigates the properties of the variable sampling rate Hotelling's T2 chart with runs ...
Runs rules are used to increase the sensitivity of the Shewhart X control chart in detecting small...
This paper was published in the Proceedings of the Twenty-Sixth Annual Meeting of the Midwest Decisi...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme co...
The run sum control chart is a simple but powerful procedure for monitoring the mean of a process. W...
Champ and Woodall (1987) introduced a technique for analyzing the run length distribution of a Shewh...
Numerous nonparametric or distribution-free control charts have been proposed and studied in recent...
Supplementary runs rules have often been suggested for use with Shewhart control charts. For a given...
Control charts are usually designed using average run length as the criterion to be optimized. The s...
A new approach. Converts the problem of runs and patterns into a problem of Markov chain with discre...
This work studies the effect of incorporating the 2-of-k, 3-of-k, and k-of-k runs rules into the one...
The Hotelling’s T2 control chart with variable parameters (VP T2) has been shown to have better sta...
A class of Shewhart-type distribution-free control charts is considered. A key advantage of these ch...
To evaluate the surveillance performance of a control chart with the charting statistic of the sum o...
This study investigates the properties of the variable sampling rate Hotelling's T2 chart with runs ...
Runs rules are used to increase the sensitivity of the Shewhart X control chart in detecting small...
This paper was published in the Proceedings of the Twenty-Sixth Annual Meeting of the Midwest Decisi...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme co...
The run sum control chart is a simple but powerful procedure for monitoring the mean of a process. W...
Champ and Woodall (1987) introduced a technique for analyzing the run length distribution of a Shewh...
Numerous nonparametric or distribution-free control charts have been proposed and studied in recent...
Supplementary runs rules have often been suggested for use with Shewhart control charts. For a given...
Control charts are usually designed using average run length as the criterion to be optimized. The s...
A new approach. Converts the problem of runs and patterns into a problem of Markov chain with discre...
This work studies the effect of incorporating the 2-of-k, 3-of-k, and k-of-k runs rules into the one...
The Hotelling’s T2 control chart with variable parameters (VP T2) has been shown to have better sta...
A class of Shewhart-type distribution-free control charts is considered. A key advantage of these ch...
To evaluate the surveillance performance of a control chart with the charting statistic of the sum o...
This study investigates the properties of the variable sampling rate Hotelling's T2 chart with runs ...
Runs rules are used to increase the sensitivity of the Shewhart X control chart in detecting small...