... 17, Fasc. 2 (1997), pp. 377–385 ON GENERALIZED POISSON DISTRIBUTIONS Bores Lerner Amjad Lone Murali Rao Abstract: In this paper, we show that, for θ > 0 and λ in [0, 1], the measure µ defined on nonnegative integers by µ(n) = θ(θ + nλ)n−1 n! e−nλ−θ ...
CITATION STYLE
Generalized Poisson Distribution. (2006). In Lagrangian Probability Distributions (pp. 165–190). Birkhäuser-Verlag. https://doi.org/10.1007/0-8176-4477-6_9
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