Identification and validation the predictive biomarkers based on risk-adjusted control chart in gemcitabine with or without erlotinib for pancreatic cancer therapy. [PDF]
Zhao A, Tu D, He Y, Liu L, Wu B, Ren Y.
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Monitoring gamma type-I censored data using an exponentially weighted moving average control chart based on deep learning networks. [PDF]
Lee PH, Liao SL.
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Monitoring the inverted exponentiated half logistic quantiles under the adaptive progressive type II hybrid censoring scheme. [PDF]
Yu J, Wu C, Luo P.
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The efficiency of CUSUM schemes for monitoring the multivariate coefficient of variation in short runs process. [PDF]
Hu X +5 more
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Online Monitoring and Fault Diagnosis for High-Dimensional Stream with Application in Electron Probe X-Ray Microanalysis. [PDF]
Wang T, Guo Y, Zhu F, Li Z.
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Enhancing Emergency Department Management: A Data-Driven Approach to Detect and Predict Surge Persistence. [PDF]
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Nonparametric CUSUM and EWMA control charts for detecting mean shifts
Suyi Li, Loon‐Ching Tang, Szu-Hui Ng
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The efficiency of the EWMA capability chart
2007 IEEE International Conference on Industrial Engineering and Engineering Management, 2007In order to monitor unstable but capable processes Castagliola & Vannman have recently suggested a procedure based on an EWMA approach, called EWMA capability chart, for monitoring Vannman's Cp(u,v)-family of capability indices and showed how their proposed approach efficiently monitors capable processes by detecting a decrease or increase of the ...
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The EWMA median chart with estimated parameters
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