Abstract
The notion of self-decomposability for N0-valued random variables as introduced by Steutel and van Harn [10] and its generalization by van Harn, Steutel and Vervaat [5], are used to study the limiting behaviour of continuous-time Markov branching processes with immigration. This behaviour provides analogues to the behaviour of sequences of random variables obeying a certain difference equation as studied by Vervaat [12] and their continuous-time counterpart considered by Wolfe [13]. An application in queueing theory is indicated. Furthermore, discrete-state analogues are given for results on stability in the processes studied by Wolfe, and for results on self-decomposability in supercritical branching processes by Yamazato [14].
| Original language | English |
|---|---|
| Pages (from-to) | 713-725 |
| Number of pages | 13 |
| Journal | Advances in Applied Probability |
| Volume | 15 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1983 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
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