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- L Beghin, E Orsingher
- 2009

We present three different fractional versions of the Poisson process and some related results concerning the distribution of order statistics and the compound Poisson process. The main version is constructed by considering the difference-differential equation governing the distribution of the standard Poisson process, N (t), t > 0, and by replacing the… (More)

In this paper we consider nonhomogeneous birth and death processes (BDP) with periodic rates. Two important parameters are studied, which are helpful to describe a nonhomogeneous BDP X = X (t), t ≥ 0: the limiting mean value (namely, the mean length of the queue at a given time t) and the double mean (i.e. the mean length of the queue for the whole duration… (More)

- L Beghin, E Orsingher
- 2010

We consider some fractional extensions of the recursive differential equation governing the Pois-son process, i.e. d d t p k (t) = −λ(p k (t) − p k−1 (t)), k ≥ 0, t > 0 by introducing fractional time-derivatives of order ν, 2ν, ..., nν. We show that the so-called " Generalized Mittag-Leffler functions " E k α,β (x), x ∈ (introduced by Prabhakar [24]) arise… (More)

We consider a fractional version of the classical non-linear birth process of which the Yule-Furry model is a particular case. Fractionality is obtained by replacing the first-order time derivative in the difference-differential equations which govern the probability law of the process, with the Dzherbashyan-Caputo fractional derivative. We derive the… (More)

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