41
- https://doi.org/10.1080/03610926.2014.901375
Characterizations of discrete compound Poisson distributions
- Aug 23, 2016
- Communications in Statistics - Theory and Methods
- Huiming Zhang +1 more
ABSTRACTThe aim of this paper is to give some new characterizations of discrete compound Poisson distributions. Firstly, we give a characterization by the Lévy–Khintchine formula of infinitely divisible distributions under some conditions. The second characterization need to present by row sum of random triangular arrays converges in distribution. And we give an application in probabilistic number theory, the strongly additive function converging to a discrete compound Poisson in distribution. The next characterization, is an extension of Watanabe’s theorem of characterization of homogeneous Poisson process. The last characterization will be illustrated by waiting time distributions, especially the matrix-exponential representation.
- # Probabilistic Number Theory
- # Matrix-exponential Representation
- # Waiting Time Distributions
- # Discrete Distributions
- # Random Arrays
- # Probabilistic Theory
- # Compound Poisson Distributions
- # Khintchine Formula
- # Homogeneous Poisson Process
- # Theorem Of Characterization