Results 21 to 30 of about 6,288 (253)
A STUDY OF THE MEDIAN RUN LENGTH (MRL) PERFORMANCE OF THE EWMA t CHART FOR THE MEAN
South African Journal of Industrial Engineering, 2012 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.
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A Comparison Between the MEWMA and Mahalanobis Distance Control Chart
Kurdistan Journal of Applied Research, 2021 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
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Mixed Control Charts Using EWMA Statistics
IEEE Access, 2016 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
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Applied Sciences, 2020 Recently, a number of data analysists have suffered from an insufficiency of historical observations in many real situations. To address the insufficiency of historical observations, self-starting forecasting process can be used.
Jaehong Yu +3 more
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Axioms, 2023 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
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Score Driven Exponentially Weighted Moving Average and Value-at-Risk Forecasting [PDF]
SSRN Electronic Journal, 2014 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
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IEEE Access, 2022 Many studies have shown that industrial as well as non-industrial business organisations present a growing need of robust and more efficient multivariate monitoring schemes in order to be able to monitor several quality characteristics simultaneous.
Jean-Claude Malela-Majika +2 more
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Grouped Data Exponentially Weighted Moving Average Control Charts [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 1998 SUMMARY In the manufacture of metal fasteners in a progressive die operation, and other industrial situations, important quality dimensions cannot be measured on a continuous scale, and manufactured parts are classified into groups by using a step gauge.
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Optimal Surveillance Based on Exponentially Weighted Moving Averages [PDF]
Sequential Analysis, 2006 Abstract Statistical surveillance is used to detect an important change in a process as soon as possible after it has occurred. The exponentially weighted moving averages (EWMA) method is used in industry, economics, and medicine. Three optimality criteria of surveillance are studied.
Marianne Frisén, Christian Sonesson
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Modern multivariate control chart using spatial signed rank for non-normal process
Engineering Science and Technology, an International Journal, 2020 Modern multivariate control charts that use spatial signed rank are sensitive to the detection of small shifts under non-normal or gamma distributions.
Thidathip Haanchumpol +2 more
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