Results 21 to 30 of about 4,359,077 (237)
Bivariate copulas on the exponentially weighted moving average control chart [PDF]
This paper proposes four types of copulas on the Exponentially Weighted Moving Average (EWMA) control chart when observations are from an exponential distribution using a Monte Carlo simulation approach. The performance of the control chart is based on
Sasigarn Kuvattana +3 more
doaj +1 more source
A multivariate triple exponentially weighted moving average control chart [PDF]
Statistical process monitoring (SPM) is mostly populated with univariate control charts used to monitor a single variable (or quality characteristic).
Chatterjee, Kashinath +2 more
core +1 more source
Inertia measurement of exponentially weighted moving average control chart based on autocorrelated attribute data [PDF]
Purpose: This paper aims to study the effect of inertia on the performance of the EWMA control chart for attribute characteristics and to investigate the effects of inertia properties on control charts with attribute characteristics.Design/methodology ...
Poune Ghasemian Asl, Rassoul Noorossana
doaj +1 more source
Exponentially weighted moving average charts for detecting concept drift [PDF]
Classifying streaming data requires the development of methods which are computationally efficient and able to cope with changes in the underlying distribution of the stream, a phenomenon known in the literature as concept drift. We propose a new method for detecting concept drift which uses an Exponentially Weighted Moving Average (EWMA) chart to ...
Gordon J. Ross +3 more
openaire +3 more sources
A STUDY OF THE MEDIAN RUN LENGTH (MRL) PERFORMANCE OF THE EWMA t CHART FOR THE MEAN
The exponentially weighted moving average (EWMA) chart is effective in detecting small shifts. However, the EWMA chart is not robust enough to prevent errors in estimating the process standard deviation or a changing standard deviation.
Chin, W. S., Khoo, M. B. C.
doaj +1 more source
A Comparison Between the MEWMA and Mahalanobis Distance Control Chart
Statistical Process Control (SPC) is approaching that uses statistical techniques to monitor the process. The methods of quality control are widely used in controlling any strategy—the widely used control charts.
Kawa Rashid
doaj +1 more source
Mixed Control Charts Using EWMA Statistics
In this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution.
Muhammad Aslam +3 more
doaj +1 more source
In industrial production, the exponentially weighted moving average scheme is widely used to monitor shifts in product quality, especially small-to-moderate shifts.
Dan Yu +5 more
doaj +1 more source
Evaluations of some Exponentially Weighted Moving Average methods [PDF]
The need for statistical surveillance has been noted in many different areas, and examples of applications include the detection of an increased incidence of a disease, the detection of an increased radiation level and the detection of a turning point in a leading index for a business cycle. In all cases, preventive actions are possible if the alarm is
openaire +2 more sources
Score Driven Exponentially Weighted Moving Average and Value-at-Risk Forecasting [PDF]
We present a simple methodology for modeling the time variation in volatilities and other higher-order moments using a recursive updating scheme that is similar to the familiar RiskMetrics approach. The parameters are updated using the score of the forecasting distribution, which allows the parameter dynamics to adapt automatically to any non-normal ...
Lucas, André, Zhang, Xin
openaire +7 more sources

