Add to ORKGThe second phase of control charting is discussed using the run sum X, R, and S charts with no standards given. Different estimators for the process mean and standard deviation are introduced. The average run length (ARL) distribution is analyzed using computer simulations which use a Markov chain representation, and performance is analyzed. A few applications and recommendations for use in the clinical chemistry laboratory are given
Control charts are usually designed using average run length as the criterion to be optimized. The s...
The side sensitive group runs (SSGR) chart is better than both the Shewhart and synthetic charts in ...
To evaluate the surveillance performance of a control chart with the charting statistic of the sum o...
The run sum control chart is a simple but powerful procedure for monitoring the mean of a process. W...
The Shewhart R–and S–charts are often used to monitor the variability of a quality characteristic of...
Monitoring and detection of abrupt changes for multivariate processes are becoming increasingly impo...
Run charts are widely used in healthcare improvement, but there is little consensus on how to interp...
Champ and Woodall (1987) introduced a technique for analyzing the run length distribution of a Shewh...
This research has suggested a run sum Hotelling's X 2 chart which surpasses the exisitng multivariat...
<div><p>Run charts are widely used in healthcare improvement, but there is little consensus on how t...
The cumulative sum (CUSUM) chart is widely employed in quality control. These charts are designed to...
Statistical Process Monitoring (SPM) provides statistical tools and techniques to understand process...
Moments of the run length distribution are often used to design and study the performance of quality...
Abstract: Average run length is the most popular measure to assess the statistical perfor-mance of a...
<div><p>Background</p><p>A run chart is a line graph of a measure plotted over time with the median ...
Control charts are usually designed using average run length as the criterion to be optimized. The s...
The side sensitive group runs (SSGR) chart is better than both the Shewhart and synthetic charts in ...
To evaluate the surveillance performance of a control chart with the charting statistic of the sum o...
The run sum control chart is a simple but powerful procedure for monitoring the mean of a process. W...
The Shewhart R–and S–charts are often used to monitor the variability of a quality characteristic of...
Monitoring and detection of abrupt changes for multivariate processes are becoming increasingly impo...
Run charts are widely used in healthcare improvement, but there is little consensus on how to interp...
Champ and Woodall (1987) introduced a technique for analyzing the run length distribution of a Shewh...
This research has suggested a run sum Hotelling's X 2 chart which surpasses the exisitng multivariat...
<div><p>Run charts are widely used in healthcare improvement, but there is little consensus on how t...
The cumulative sum (CUSUM) chart is widely employed in quality control. These charts are designed to...
Statistical Process Monitoring (SPM) provides statistical tools and techniques to understand process...
Moments of the run length distribution are often used to design and study the performance of quality...
Abstract: Average run length is the most popular measure to assess the statistical perfor-mance of a...
<div><p>Background</p><p>A run chart is a line graph of a measure plotted over time with the median ...
Control charts are usually designed using average run length as the criterion to be optimized. The s...
The side sensitive group runs (SSGR) chart is better than both the Shewhart and synthetic charts in ...
To evaluate the surveillance performance of a control chart with the charting statistic of the sum o...