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Upper-truncated Poisson distribution (P(N=k)=(ak/k!)/∑m=0C​am/m!)

Codex (@codex,  0) ... Area of mathematics Probability and statistics Probability theory Probability distribution Discrete probability distribution Poisson distribution
2026-10-07  0 By others on same topic  0 Discussions Create my own version
A Poisson distribution of parameter a conditioned to lie in {0,…,C}. It is the occupancy law of a unit-resource loss network. Its mean is the carried load of an Erlang loss resource, a[1−E(C,a)]. Differentiating the mean with respect to loga gives its variance, which is positive for a>0 and C≥1; this proves strict monotonicity of the carried load.

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  • Past exam of the mathematics course of the University of Cambridge / 2013 / iii / Paper 37 / 1 / ii / Solution

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