A class of Shewhart-type distribution-free control charts is considered. A key advantage of these charts is that the in-control run length distribution is the same for all continuous process distributions. Exact expressions for the run length distribution and the average run length (ARL) are derived and properties of the charts are studied via evaluations of the run length distribution probabilities and the ARL. Tables are provided for implementation for some typical ARL values and false alarm rates. The charts proposed are preferable from a robustness point of view, have attractive ARL properties and would be particularly useful in situations where one uses a classical Shewhart X-chart. A numerical illustration is given
Control charts are widely used in statistical process control to detect changes in a production proc...
Moments of the run length distribution are often used to design and study the performance of quality...
Abstract: This paper deals with the log-logistic distribution as a life time model. Control charts a...
A class of Shewhart-type distribution-free control charts is considered. A key advantage of these ch...
Nonparametric or distribution-free charts can be useful in statistical process control when there is...
Nonparametric or distribution-free charts can be useful in statistical process control problems when...
Champ and Woodall (1987) introduced a technique for analyzing the run length distribution of a Shewh...
At the origination of the Shewhart control chart, it was assumed that the process parameters were kn...
In this paper we derive correction factors for Shewhart control charts that monitor individual obser...
Although the Shewhart chart is widely used in practice because of its simplicity, applying this cont...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme co...
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...
A number of processes to which statistical control is applied are subject to various effects that ca...
The in-control performance of Shewhart and S2 control charts with estimated in-control parameters ha...
Control charts are widely used in statistical process control to detect changes in a production proc...
Moments of the run length distribution are often used to design and study the performance of quality...
Abstract: This paper deals with the log-logistic distribution as a life time model. Control charts a...
A class of Shewhart-type distribution-free control charts is considered. A key advantage of these ch...
Nonparametric or distribution-free charts can be useful in statistical process control when there is...
Nonparametric or distribution-free charts can be useful in statistical process control problems when...
Champ and Woodall (1987) introduced a technique for analyzing the run length distribution of a Shewh...
At the origination of the Shewhart control chart, it was assumed that the process parameters were kn...
In this paper we derive correction factors for Shewhart control charts that monitor individual obser...
Although the Shewhart chart is widely used in practice because of its simplicity, applying this cont...
A simple algorithm is introduced for computing the run length distribution of a monitoring scheme co...
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...
A number of processes to which statistical control is applied are subject to various effects that ca...
The in-control performance of Shewhart and S2 control charts with estimated in-control parameters ha...
Control charts are widely used in statistical process control to detect changes in a production proc...
Moments of the run length distribution are often used to design and study the performance of quality...
Abstract: This paper deals with the log-logistic distribution as a life time model. Control charts a...