Non parametric double generally weighted moving average sign charts based on process proportion
Non parametric control charts have received increasing attention in the field of statistical process control. This paper presents a non parametric double generally weighted moving average (DGWMA) sign chart for monitoring small deviations when the quality characteristics of a process are unknown. Th...
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Published in | Communications in statistics. Theory and methods Vol. 47; no. 11; pp. 2684 - 2700 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Philadelphia
Taylor & Francis Ltd
03.06.2018
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Subjects | |
Online Access | Get full text |
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Summary: | Non parametric control charts have received increasing attention in the field of statistical process control. This paper presents a non parametric double generally weighted moving average (DGWMA) sign chart for monitoring small deviations when the quality characteristics of a process are unknown. The statistical performance of the non parametric DGWMA sign chart is evaluated and compared with those of other charts, including the exponentially weighted moving average (EWMA), generally weighted moving average (GWMA), and double EWMA (DEWMA) sign charts. Simulation studies indicate that the non parametric DGWMA sign chart with a large design and median adjustment parameters is always more sensitive than other charts in detecting small changes. |
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ISSN: | 0361-0926 1532-415X |
DOI: | 10.1080/03610926.2017.1342832 |