Characterization of discrete laws via mixed sums and Markov branching processes-Reference-Cited by-同舟云学术

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Characterization of discrete laws via mixed sums and Markov branching processes

Published:1995-02 Issue:2 Volume:55 Page:285-300
ISSN:0304-4149
Container-title:Stochastic Processes and their Applications
language:en
Short-container-title:Stochastic Processes and their Applications

Author:

Pakes Anthony G.

Publisher

Elsevier BV

Subject

Applied Mathematics,Modeling and Simulation,Statistics and Probability

Reference27 articles.

1. Some results on discrete α-monotonicity;Alzaid;Statist. Neerlandica,1990

2. Characterization of probability distributions based on the relation X ≅ U(X1 + X2);Alzaid;Sankhya,1991

3. Linnik processes;Anderson,1990

4. Branching Processes;Asmussen,1983

5. Branching Processes;Athreya,1972

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1. Geometric branching reproduction Markov processes;Modern Stochastics: Theory and Applications;2020

2. The computation of the probability density and distribution functions for some families of random variables by means of the Wynn-ρ accelerated Post-Widder formula;Communications in Statistics - Simulation and Computation;2018-12-20

3. On a jump-telegraph process driven by an alternating fractional Poisson process;Journal of Applied Probability;2018-03

4. Certain bivariate distributions and random processes connected with maxima and minima;Extremes;2018-02-17

5. The Tempered Discrete Linnik distribution;Statistical Methods & Applications;2017-07-24

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