Phase-II monitoring of the lower truncated proportional hazard rate process based on progressive Type-II censoring. [PDF]
PLoS OneEnami S, Alamri OA.
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Mathematical and Algorithmic Advances in Machine Learning for Statistical Process Control: A Systematic Review. [PDF]
Entropy (Basel)Qiao Y +5 more
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Multiscale study of memory type simple ratio estimators in two stage sampling under exponentially weighted moving averages. [PDF]
PLoS OneMinhas KS, Semary HE, Jabeen R, Zaka A.
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EWMA control charts in statistical process monitoring
, 2016 In today’s world, the amount of available data is steadily increasing, and it is often of interest to detect changes in the data. Statistical process monitoring (SPM) provides tools to monitor data streams and to signal changes in the data. One of these tools is the control chart.
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Design of an EWMA control chart by adaptation of smoothing constant based on a function of estimated shift. [PDF]
Sci RepAlQadi H +5 more
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Conditional expected approach based monitoring of mean of type-I censored Weibull lifetimes. [PDF]
Sci RepAbbasi AR +4 more
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Monitoring air quality index with EWMA and individual charts using XGBoost and SVR residuals. [PDF]
MethodsXAlfasanah Z +4 more
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Monitoring and early warning of ovarian cancer using high-dimensional non-parametric EWMA control chart based on sliding window. [PDF]
Sci RepWu B, Zhong W, Ren Y, Zhou Z, Liu L.
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Unique exploration method of electronic component failure time and yield strengths of circular tubes under complete flexible model. [PDF]
PLoS OneJabeen R +4 more
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Machine learning based parameter-free adaptive EWMA control chart to monitor process dispersion. [PDF]
Sci RepNoor-Ul-Amin M +4 more
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