At the origination of the Shewhart control chart, it was assumed that the process parameters were known. The in-control Average Run Length (ARL) and the probability of having a false alarm (P) were introduced as metrics to indicate the in-control performance. These two metrics are related when the process data are i.i.d. normally distributed: the ARL equals 1/P. When the process parameters are unknown and have to be estimated, a similar relation holds for each estimated control chart, but the relation between the expected ARL (the average of the ARLs of all possible estimated charts) and the expectedP is different. Control charts based on estimates are often designed such that the in-control ARL equals a predefined value. This paper shows t...
The performance of attribute control charts that monitor Markov-dependent data is usually evaluated ...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
In this paper we derive correction factors for Shewhart control charts that monitor individual obser...
When designing control charts the in‐control parameters are unknown, so the control limits have to b...
Standard control chart practice typically assumes normality and uses estimated parameters using data...
In this study, we have conducted comparative analysis between false alarm rate (FAR) and average run...
Statistical Process Monitoring (SPM) provides statistical tools and techniques to understand process...
The in-control performance of Shewhart and S2 control charts with estimated in-control parameters ha...
The exponentially weighted moving average (EWMA) control chart is typically designed assuming that s...
Control charts, one of the powerful tools in statistical process control (SPC), are widely used to m...
Distribution-free Shewhart-type control charts are proposed for future sample percentiles based on a...
Statistical Processes Monitoring is a collection of statistical-based methodologies and methods for ...
Monitoring and detection of abrupt changes for multivariate processes are becoming increasingly impo...
Parameter estimation has a large impact on control chart performance. Recently, widened control limi...
The performance of attribute control charts that monitor Markov-dependent data is usually evaluated ...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
In this paper we derive correction factors for Shewhart control charts that monitor individual obser...
When designing control charts the in‐control parameters are unknown, so the control limits have to b...
Standard control chart practice typically assumes normality and uses estimated parameters using data...
In this study, we have conducted comparative analysis between false alarm rate (FAR) and average run...
Statistical Process Monitoring (SPM) provides statistical tools and techniques to understand process...
The in-control performance of Shewhart and S2 control charts with estimated in-control parameters ha...
The exponentially weighted moving average (EWMA) control chart is typically designed assuming that s...
Control charts, one of the powerful tools in statistical process control (SPC), are widely used to m...
Distribution-free Shewhart-type control charts are proposed for future sample percentiles based on a...
Statistical Processes Monitoring is a collection of statistical-based methodologies and methods for ...
Monitoring and detection of abrupt changes for multivariate processes are becoming increasingly impo...
Parameter estimation has a large impact on control chart performance. Recently, widened control limi...
The performance of attribute control charts that monitor Markov-dependent data is usually evaluated ...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...
When in-control parameters are unknown, they have to be estimated using a reference sample. Due to t...