Control charts are used to identify the presence of assignable cause of variation in the process. Non-parametric control chart is an emerging area of recent development in the theory of SPC. Its main advantage is that it does not require any knowledge about the underlying distribution of the variable. In this paper a non-parametric control chart for controlling variability has been developed. Its in control state performances have been computed for different distributions and compared with existing Shewhart S chart. Its efficiency to detect shift in variability has been evaluated
Statistical Process Control (SPC) is an important quality control technique, which aims to reduce v...
In this paper a non-parametric multivariate process control chart has been proposed for monitoring a...
Purpose - The aim of this paper is to present a synthetic chart based on the non-central chi-square ...
Abstract: Control charts are used to identify the presence of an assignable cause of variation in th...
Abstract: Nonparametric control chart techniques represent a rather neglected area in Sta-tistical P...
Abstract: In this study a Shewhart type control chart namely chart is proposed for improved monitori...
In this study a Shewhart type control chart namely the Vt chart, is proposed for improvedmonitoring ...
When the distributional form of the observations differs from normality, standard control charts are...
Although the Shewhart chart is widely used in practice because of its simplicity, applying this cont...
Control charts for variation play a key role in the overall statistical process control (SPC) regime...
Statistical process control (SPC) chart is aimed at monitoring a process over time in order to det...
In this paper a non-parametric quality control chart for the process mean, based on the Empirical Li...
Abstract In this study a Shewhart type control chart namely the Vt chart, is proposed for improved m...
We present an overview of the literature on nonparametric or distribution-free control charts for un...
The Shewhart and the Bonferroni-adjustment S control charts are usually applied to monitor the stand...
Statistical Process Control (SPC) is an important quality control technique, which aims to reduce v...
In this paper a non-parametric multivariate process control chart has been proposed for monitoring a...
Purpose - The aim of this paper is to present a synthetic chart based on the non-central chi-square ...
Abstract: Control charts are used to identify the presence of an assignable cause of variation in th...
Abstract: Nonparametric control chart techniques represent a rather neglected area in Sta-tistical P...
Abstract: In this study a Shewhart type control chart namely chart is proposed for improved monitori...
In this study a Shewhart type control chart namely the Vt chart, is proposed for improvedmonitoring ...
When the distributional form of the observations differs from normality, standard control charts are...
Although the Shewhart chart is widely used in practice because of its simplicity, applying this cont...
Control charts for variation play a key role in the overall statistical process control (SPC) regime...
Statistical process control (SPC) chart is aimed at monitoring a process over time in order to det...
In this paper a non-parametric quality control chart for the process mean, based on the Empirical Li...
Abstract In this study a Shewhart type control chart namely the Vt chart, is proposed for improved m...
We present an overview of the literature on nonparametric or distribution-free control charts for un...
The Shewhart and the Bonferroni-adjustment S control charts are usually applied to monitor the stand...
Statistical Process Control (SPC) is an important quality control technique, which aims to reduce v...
In this paper a non-parametric multivariate process control chart has been proposed for monitoring a...
Purpose - The aim of this paper is to present a synthetic chart based on the non-central chi-square ...