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Citation Information : Statistics in Transition New Series. Volume 20, Issue 1, Pages 117-129, DOI: https://doi.org/10.21307/stattrans-2019-007
License : (CC BY-NC-ND 4.0)
Published Online: 27-May-2019
In this paper, we introduce a fractional order of a simple Markovian model where the arrival rate of the patient is Poisson,i.e. independent of the patient size. Fractionis obtained by replacing the first order time derivative in the difference differential equations which govern the probability law of the process with the Mittag-Leffler function. We derive the probability distribution of the number N(t) of patients suffering from severe disease at an arbitrary time t. We also obtain the mean size(number) of the patients suffering from severe disease waiting for service at any given time t, in the form of Eν0.5,0.5(t), for different fractional values of server activity status,ν=1,0.95,0.90 and for arrival rates α=β=0.5. A numerical example is also evaluated and analysed by using the simple Markovian model with the help of simulation techniques.
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