Change point problem for Markovian arrival queueing models: Bayes factor approach
Saroja Kumar Singh ()
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Saroja Kumar Singh: Sambalpur University
International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 6, No 3, 2847-2854
Abstract:
Abstract This paper considers two Markovian arrival single server queueing models, namely M/M/1 and $$M/E_r/1$$ M / E r / 1 . Under the steady state condition, we observe the number of customer present at different time points for the M/M/1 queue while in case of an $$M/E_r/1$$ M / E r / 1 queue we consider the number of arrivals during the service time of a customer. A Bayesian approach is applied to study the change point problems. Testing of hypothesis for change versus no-change is carried out using predictive distributions. Further, Bayes factors are derived for change versus no-change for both the M/M/1 and $$M/E_r/1$$ M / E r / 1 queueing models under natural conjugate beta prior distribution. At last, numerical results are provided for the illustration.
Keywords: Change point; M/M/1 queue; $$M/E_r/1$$ M / E r / 1 queue; Bayes factor (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:13:y:2022:i:6:d:10.1007_s13198-022-01750-x
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DOI: 10.1007/s13198-022-01750-x
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