A characterization of the Poisson process

Author:

Gupta Pushpa Lata,Gupta Ramesh C.

Abstract

Denoting by v(t) the residual life of a component in a renewal process, Çinlar and Jagers (1973) and Holmes (1974) have shown that if E(v(t)) is independent of t for all t, then the process is Poisson. In this note we prove, under mild conditions, that if E(G(v(t))) is constant, then the process is Poisson. In particular if E((v(t))r) for some specific real number r ≧ 1 is independent of t, then the process is Poisson.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Reference8 articles.

1. On the “strong memoryless property” of the exponential and geometric probability laws;Ramachandran;Sankhya,1979

2. Another characterization of the Poisson process;Holmes;Sankhya,1974

3. Characterizations of Probability Distributions

4. A Characterization of the Exponential Law

5. The Poisson process as renewal process

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