ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov Sequence

To evaluate the surveillance performance of a control chart with the charting statistic of the sum of log likelihood ratios in the statistical process control (SPC), in this paper, we give the proof procedure based on Markov chains for the asymptotic estimation of the average run length (ARL) for th...

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Main Authors: Yi Guo, Lei Gao, Yan Zhu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/6649949
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author Yi Guo
Lei Gao
Yan Zhu
author_facet Yi Guo
Lei Gao
Yan Zhu
author_sort Yi Guo
collection DOAJ
description To evaluate the surveillance performance of a control chart with the charting statistic of the sum of log likelihood ratios in the statistical process control (SPC), in this paper, we give the proof procedure based on Markov chains for the asymptotic estimation of the average run length (ARL) for this kind of chart. The out-of-control ARL1 is approximately equal to 1 for any fixed in-control ARL0 with a negative control limit. By the equivalence between limit distribution of a sum and that of a suprema sum of Markov chain, we derive the estimation of ARL1 with a large enough positive control limit. Numerical experiments are conducted to confirm our results.
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institution Kabale University
issn 2314-4629
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series Journal of Mathematics
spelling doaj-art-ac53093a371f4e6181da1fce55d7faf92025-08-20T03:39:14ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/66499496649949ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov SequenceYi Guo0Lei Gao1Yan Zhu2Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, ChinaDepartment of Automation, Shanghai Jiao Tong University, Shanghai 200240, ChinaCollege of Science, University of Shanghai for Science and Technology, Shanghai 200093, ChinaTo evaluate the surveillance performance of a control chart with the charting statistic of the sum of log likelihood ratios in the statistical process control (SPC), in this paper, we give the proof procedure based on Markov chains for the asymptotic estimation of the average run length (ARL) for this kind of chart. The out-of-control ARL1 is approximately equal to 1 for any fixed in-control ARL0 with a negative control limit. By the equivalence between limit distribution of a sum and that of a suprema sum of Markov chain, we derive the estimation of ARL1 with a large enough positive control limit. Numerical experiments are conducted to confirm our results.http://dx.doi.org/10.1155/2021/6649949
spellingShingle Yi Guo
Lei Gao
Yan Zhu
ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov Sequence
Journal of Mathematics
title ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov Sequence
title_full ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov Sequence
title_fullStr ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov Sequence
title_full_unstemmed ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov Sequence
title_short ARL Estimation of the Control Chart of Log Likelihood Ratios’ Sum for Markov Sequence
title_sort arl estimation of the control chart of log likelihood ratios sum for markov sequence
url http://dx.doi.org/10.1155/2021/6649949
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AT leigao arlestimationofthecontrolchartofloglikelihoodratiossumformarkovsequence
AT yanzhu arlestimationofthecontrolchartofloglikelihoodratiossumformarkovsequence