Supplementary runs rules have often been suggested for use with Shewhart control charts. For a given set of runs rules supplementing a control chart, a method is given for calculating the probability any subset of these rules will cause the out-of-control signal. A Markov chain approach is used to represent the chart. Some closed form expressions are given
Standard control chart practice typically assumes normality and uses estimated parameters using data...
This study investigates the properties of the variable sampling rate Hotelling's T2 chart with runs ...
In statistical process control and monitoring (SPCM), traditional (or classical) X control schemes a...
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...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme co...
The paper deals with an extension of standard Shewhart control charts witch provide independent runs...
The run sum control chart is a simple but powerful procedure for monitoring the mean of a process. W...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
This paper was published in Modeling and Simulation Part 4: Control, Signal Processing, Robotics, Sy...
We introduce a general theoretical framework, based on the Markov chain imbedding approach, that lea...
A number of processes to which statistical control is applied are subject to various effects that ca...
This work studies the effect of incorporating the 2-of-k, 3-of-k, and k-of-k runs rules into the one...
Phase I Shewhart p, np and runs of conforming charts are investigated. The performance of these char...
Standard control chart practice typically assumes normality and uses estimated parameters using data...
This study investigates the properties of the variable sampling rate Hotelling's T2 chart with runs ...
In statistical process control and monitoring (SPCM), traditional (or classical) X control schemes a...
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...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme co...
The paper deals with an extension of standard Shewhart control charts witch provide independent runs...
The run sum control chart is a simple but powerful procedure for monitoring the mean of a process. W...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
This paper was published in Modeling and Simulation Part 4: Control, Signal Processing, Robotics, Sy...
We introduce a general theoretical framework, based on the Markov chain imbedding approach, that lea...
A number of processes to which statistical control is applied are subject to various effects that ca...
This work studies the effect of incorporating the 2-of-k, 3-of-k, and k-of-k runs rules into the one...
Phase I Shewhart p, np and runs of conforming charts are investigated. The performance of these char...
Standard control chart practice typically assumes normality and uses estimated parameters using data...
This study investigates the properties of the variable sampling rate Hotelling's T2 chart with runs ...
In statistical process control and monitoring (SPCM), traditional (or classical) X control schemes a...