Monitoring algorithms, such as the Shewhart and Cusum control charts, are often used in environmental monitoring. The statistical properties of these algorithms are known to be highly responsive to measurement errors. Recent studies have underlined the important role played by the two-component measurement error model in environmental analyses. In this work, we utilize simulations to study the effects of the two-component error model on the performance of the Shewhart control chart for the process mean. The results reveal that gauge imprecision may seriously alter the statistical properties of the control chart
The usual Shewhart control chart efficiently detects large shifts in the mean of a quality character...
International audienceIn this paper, we propose a variable sampling interval Shewhart control chart ...
[[abstract]]The effect of measurement error on the performance of two control chart schemes, derived...
Monitoring algorithms, such as the Shewhart and Cusum control charts, are often used in environmenta...
Monitoring algorithms, such as the Shewhart and Cusum control charts, are often used for monitoring ...
The statistical properties of Shewhart control charts are known to be highly sensitive to measureme...
International audienceMonitoring the ratio between two random normal variables plays an important ro...
It is widely acknowledged within the industrial context that measurement er-rors may significantly a...
The accuracy of the measurement system is vital for reliable process monitoring using statistical pr...
Abstract: Imprecise measurements may seriously affect the efficiency of process control and pro-duct...
peer reviewedIn the literature, coefficient of variation control charts have been introduced under t...
International audienceIn the literature, coefficient of variation control charts have been introduce...
無In this article, a two-step process is considered to investigate the effects of measurement errors ...
Implementation of the Shewhart, CUSUM, and EWMA charts requires estimates of the in-control process ...
Recently, simultaneous monitoring of process mean and variability has gained increasing attention. B...
The usual Shewhart control chart efficiently detects large shifts in the mean of a quality character...
International audienceIn this paper, we propose a variable sampling interval Shewhart control chart ...
[[abstract]]The effect of measurement error on the performance of two control chart schemes, derived...
Monitoring algorithms, such as the Shewhart and Cusum control charts, are often used in environmenta...
Monitoring algorithms, such as the Shewhart and Cusum control charts, are often used for monitoring ...
The statistical properties of Shewhart control charts are known to be highly sensitive to measureme...
International audienceMonitoring the ratio between two random normal variables plays an important ro...
It is widely acknowledged within the industrial context that measurement er-rors may significantly a...
The accuracy of the measurement system is vital for reliable process monitoring using statistical pr...
Abstract: Imprecise measurements may seriously affect the efficiency of process control and pro-duct...
peer reviewedIn the literature, coefficient of variation control charts have been introduced under t...
International audienceIn the literature, coefficient of variation control charts have been introduce...
無In this article, a two-step process is considered to investigate the effects of measurement errors ...
Implementation of the Shewhart, CUSUM, and EWMA charts requires estimates of the in-control process ...
Recently, simultaneous monitoring of process mean and variability has gained increasing attention. B...
The usual Shewhart control chart efficiently detects large shifts in the mean of a quality character...
International audienceIn this paper, we propose a variable sampling interval Shewhart control chart ...
[[abstract]]The effect of measurement error on the performance of two control chart schemes, derived...