Abstract
For continuous time birth-death processes on {0,1,2,...}, the first passage time T+n from n to n + 1 is always a mixture of (n + 1) independent exponential random variables. Furthermore, the first passage time T0,n+1 from 0 to (n + 1) is always a sum of (n + 1) independent exponential random variables. The discrete time analogue, however, does not necessarily hold in spite of structural similarities. In this paper, some necessary and sufficient conditions are established under which T+n and T0,n+1 for discrete time birth-death chains become a mixture and a sum, respectively, of (n + 1) independent geometric random variables on {1,2,...};. The results are further extended to conditional first passage times.
Original language | English |
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Pages (from-to) | 133-147 |
Number of pages | 15 |
Journal | Stochastic Processes and their Applications |
Volume | 20 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1985 Jul |
Externally published | Yes |
Keywords
- PF
- birth-death processes
- complete monotonicity
- conditional first passage time
- discrete time birth-death chains
- first passage times
- strong unimodality
ASJC Scopus subject areas
- Statistics and Probability
- Modelling and Simulation
- Applied Mathematics