On Computing Average Common Substring Over Run Length Encoded Sequences [PDF]
Fundamenta Informaticae, 2018 The Average Common Substring (ACS) is a popular alignment-free distance measure for phylogeny reconstruction. The ACS of a sequence X[1, x] w.r.t. another sequence Y[1, y] is ACS(X, Y) = 1 x ∑ i=1 x max j lcp(X[i, x], Y[j, y]) The lcp(·, ·) of two input sequences is the length of their longest common prefix.
Sahar Hooshmand +3 more
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Standard Deviation of the Run Length (SDRL) and Average Run Length (ARL) Performances of EWMA and Synthetic Charts [PDF]
International Journal of Engineering and Technology, 2015 Statistical process control (SPC) techniques are applied to monitor a process. The control chart is a valuable tool in SPC. the shewhart control chart was the first chart proposed in the literature of SPC and it is still used in process monitoring in today's manufacturing and service industries. both the exponentially weighted moving average (EWMA) and
Michael B. C. Khoo +3 more
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The Expected Average Run Length of the EWMA Median Chart with Estimated Process Parameters [PDF]
Austrian Journal of Statistics, 2020 The performance of a control chart is commonly investigated based on the assumption of known process parameters. Nevertheless, in most manufacturing and service applications, the process parameters are usually unknown to practitioners.
Huay Woon You +3 more
doaj +2 more sources
Journal of Probability and Statistics, 2018 A synthetic double sampling (SDS) chart is commonly evaluated based on the assumption that process parameters (namely, mean and standard deviation) are known.
Huay Woon You
doaj +2 more sources
Optimal designs of the median run length based double sampling X chart for minimizing the average sample size. [PDF]
PLoS ONE, 2013 Designs of the double sampling (DS) X chart are traditionally based on the average run length (ARL) criterion. However, the shape of the run length distribution changes with the process mean shifts, ranging from highly skewed when the process is in ...
Wei Lin Teoh +2 more
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Monitoring Betaine Using Interval Time Between Events Control Chart
Frontiers in Nutrition, 2022 A generalization of moving average (MA) control chart for the exponential distribution under classical statistics is presented in this article. The designing of the MA control chart for the exponential distribution under neutrosophic statistics is also ...
Muhammad Saleem +2 more
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Explicit analytical solutions for the average run length of modified EWMA control chart for ARX(p,r) processes [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 Statistical process control (SPC) plays a necessary role in manufacturing industry processes. An essential tool for SPC used for monitoring, measuring, controlling, and improving quality in various fields is the control chart.
Korakoch Silpakob +3 more
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A New Attribute Control Chart Using Multiple Dependent State Repetitive Sampling
IEEE Access, 2017 In this paper, a new attribute control chart using multiple-dependent state repetitive sampling is designed. The operational procedure and structure of the proposed control chart is given.
Mansour Sattam Aldosari +2 more
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A New Control Chart for Monitoring Reliability Using Sudden Death Testing Under Weibull Distribution
IEEE Access, 2017 In this paper, a new control chart using sudden death testing is designed by assuming that the lifetime/failure time of the product follows the Weibull distribution. The structure of the proposed chart is presented.
Muhammad Aslam +2 more
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A Comparison of Shewhart-Type Time-Between-Events Control Charts Based on the Renewal Process
IEEE Access, 2020 To study the high quality processes, time-between-events (TBE) control charts have several advantages over the ordinary control charts. However, the existing TBE charts are based on the exponential distribution, which limit the application of these ...
Sajid Ali +3 more
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