A characterization of the Poisson distribution in discrete models with perturbation
Mathematica Applicanda, Tome 5 (1977) no. 10, pp. 55-64.

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Suppose that the random number X of particles entering a system has the distribution pn=P{X=n}, n=0,1,⋯. Due to the interference of noise, some of the arriving particles are not registered, and the number of particles observed is actually Y, where Y≤X, and Y has the distribution qn=P{Y=n}, n=0,1,⋯. The interference of noise is characterized by the conditional probabilities s(r,n)=P{Y=r|X=n}, 0≤r≤n. In this paper the author considers the case in which the probabilities s(n,r) form an inflated binomial distribution for each fixed n, i.e., (1) s(0,n)=1−α+αqn and s(r,n)=α(nr)prqn−r for 1≤r≤n, where 0
DOI : 10.14708/ma.v5i10.1255
Classification : 62E10
Mots-clés : Characterization and structure theory
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     title = {A characterization of the {Poisson} distribution in discrete models with perturbation},
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Lucja Grzegórska. A characterization of the Poisson distribution in discrete models with perturbation. Mathematica Applicanda, Tome 5 (1977) no. 10, pp.  55-64. doi : 10.14708/ma.v5i10.1255. http://geodesic.mathdoc.fr/articles/10.14708/ma.v5i10.1255/

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