NDLI: A generally weighted moving average chart for time between events

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A generally weighted moving average chart for time between events

Content Provider	Scilit
Author	Chakraborty, N. Human, S. W. Balakrishnan, N.
Copyright Year	2017
Description	Shewhart-type attribute charts are known to be inefficient for small changes in monitoring nonconformities. An alternative way is to use a time-weighted chart to monitor the time between events (TBE). We propose a one-sided Generally Weighted Moving Average control chart to monitor the time between events (TBE); regarded as the GWMA-TBE chart. To aid the implementation of the chart, the necessary design parameters are provided. An extensive performance analysis shows that the GWMA-TBE chart is better than the well-known EWMA and Shewhart charts at detecting very small to moderate changes. Finally, a summary and some conclusions are provided.
Related Links	https://repository.up.ac.za/bitstream/2263/64062/1/Chakraborty_Generally_2017.pdf
Ending Page	7817
Page Count	28
Starting Page	7790
ISSN	03610918
e-ISSN	15324141
DOI	10.1080/03610918.2016.1252397
Journal	Communications in Statistics - Simulation and Computation
Issue Number	10
Volume Number	46
Language	English
Publisher	Informa UK Limited
Publisher Date	2017-05-09
Access Restriction	Open
Subject Keyword	Transportation Average Run-length Gwma Chart Markov Chain Simulation Time Between Events
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Modeling and Simulation

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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