Volume 6 Number 4 (Oct. 2016)
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IJAPM 2016 Vol.6(4): 185-193
doi: 10.17706/ijapm.2016.6.4.185-193

Statistical Design of Double Moving Average Scheme for Zero Inflated Binomial Process

Yupaporn Areepong

  • Department of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology

Abstract

The objective of this paper is to show an explicit formula for Double Moving Average chart of Zero Inflated Binomial process (DMAZIB). The ARL is a traditional measurement of control chart’s performance, the expected number of observations taken from an in-control process until the control chart falsely signals out-of-control is denoted by 0 ARL . An 0 ARL will be regarded as acceptable if it is large enough to keep the level of false alarms at an acceptable level. A second common characteristic is the expected number of observations taken from an out-of-control process until the control chart signals that the process is out-of-control is denoted by 1 ARL . Especially, the explicit analytical formulas for evaluating 0 ARL and 1 ARL be able to get a set of optimal parameters which depend on width of double moving average ( w ) and width of control limit ( k ) for designing DMAZIB chart with minimum of 1 ARL .

Keywords

  • Zero inflated binomial (ZIB) distribution
  • double moving average control chart (DMA)
  • average run length (ARL)
364-ET0035

How to Cite

Copied

Yupaporn Areepong, "Statistical Design of Double Moving Average Scheme for Zero Inflated Binomial Process," International Journal of Applied Physics and Mathematics, vol. 6, no. 4, pp. 185-193, 2016. https://doi.org/ 10.17706/ijapm.2016.6.4.185-193

Copyright & License

Copyright © 2016 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

ISSN: 2010-362X (Online)
Abbreviated Title: Int. J. Appl. Phys. Math.
Frequency: Semi-annual
APC: 500USD
DOI: 10.17706/IJAPM
Editor-in-Chief: Prof. Haydar Akca
Managing Editor: Ms. Phoebe Clifford
Abstracting/ Indexing: INSPEC(IET), CNKI, Google Scholar, EBSCO, Chemical Abstracts Services (CAS), etc.
E-mail: editor@ijapm.org
 

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