Results 151 to 160 of about 4,823 (188)
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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Journal of Quality Technology, 1998
An exponentially weighted moving average control chart for monitoring Poisson data is introduced. The charting procedure is evaluated using a Markov chain approximation, and its average run length is compared to other procedures for Poisson data. Figure..
Borror, Connie M. +2 more
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An exponentially weighted moving average control chart for monitoring Poisson data is introduced. The charting procedure is evaluated using a Markov chain approximation, and its average run length is compared to other procedures for Poisson data. Figure..
Borror, Connie M. +2 more
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Regression‐adjusted Poisson EWMA control chart
Quality and Reliability Engineering International, 2021AbstractExponentially weighted moving average (EWMA) control chart has a significant effect in improving product quality and is widely used in various fields. In addition to continuous data, there are many Count Data in life that need to be monitored.
Hongling Wen, Liu Liu, Xinlong Yan
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Communications in Statistics - Simulation and Computation, 2004
We propose a new charting procedure, combining two or more Exponentially Weighted Moving Averages (EWMAs), which we call a Composite EWMA (CEWMA) Control Chart. In the case of two EWMAs, the CEWMA chart corresponds to the usual combined Shewhart-EWMA chart, although our plotting procedure remain, we feel, an improvement in application and ...
Lingyun Zhang +3 more
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We propose a new charting procedure, combining two or more Exponentially Weighted Moving Averages (EWMAs), which we call a Composite EWMA (CEWMA) Control Chart. In the case of two EWMAs, the CEWMA chart corresponds to the usual combined Shewhart-EWMA chart, although our plotting procedure remain, we feel, an improvement in application and ...
Lingyun Zhang +3 more
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New EWMA charts for process variance
Quality and Reliability Engineering International, 2023AbstractThe EWMA chart is effective in detecting small shifts in the process mean or process variance. Numerous EWMA charts for the process variance have been suggested in the literature. In this article, new one‐sided and two‐sided EWMA charts are developed for monitoring the variance of a normal process.
Abdul Haq +2 more
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An adaptive multivariate EWMA chart
Computers & Industrial Engineering, 2019Abstract The adaptive multivariate EWMA (AMEWMA) and adaptive multivariate CUSUM (AMCUSUM) charts are recently proposed as they provide an overall good detection over a range of mean shift sizes than their non-adaptive conventional counterparts. In this paper, we propose an adaptive MEWMA (AMEWMA) chart for monitoring the infrequent changes in the ...
Abdul Haq, Michael B.C. Khoo
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Quality Technology & Quantitative Management, 2005
AbstractIn this paper, we extend the exponentially weighted moving average (EWMA) technique to double exponentially weighted moving average (DEWMA) technique. We show that DEWMA mean charts perform better than EWMA mean charts in detecting small mean shifts ranging from 0.1 to 0.5 of the process standard deviation, and that the two types of charts ...
Lingyun Zhang, Gemai Chen
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AbstractIn this paper, we extend the exponentially weighted moving average (EWMA) technique to double exponentially weighted moving average (DEWMA) technique. We show that DEWMA mean charts perform better than EWMA mean charts in detecting small mean shifts ranging from 0.1 to 0.5 of the process standard deviation, and that the two types of charts ...
Lingyun Zhang, Gemai Chen
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The EWMA median chart with estimated parameters
IIE Transactions, 2015ABSTRACTThe usual practice in control charts is to assume that the chart parameters are known or can be accurately estimated from in-control historical samples and the data are free from outliers. Both of these assumptions are not realistic in practice: a control chart may involve the estimation of process parameters from a very limited number of ...
Castagliola, Philippe +2 more
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CS‐EWMA Chart for Monitoring Process Dispersion
Quality and Reliability Engineering International, 2012Control charts are the most extensively used technique to detect the presence of special cause variations in processes. They can be classified into memory and memoryless control charts. Cumulative sum and exponentially weighted moving average control charts are memory‐type control charts as their control structures are developed in such a way that the ...
Abbas, N., Riaz, M., Does, R.J.M.M.
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