Answers are grounded in this paper and cite their sources.
The non-central negative binomial distribution is both a mixed and compound Poisson distribution with applications in photon and neural counting, statistical optics, astronomy and a stochastic reversible counter system. In this paper various important probabilistic properties of the non-central negative binomial distribution in practical applications like log-concavity, discrete self-decomposability, unimodality, asymptotic behavior and tail length of the probability distribution have been derived. The construction as a mixed Poisson process by specifying a joint distribution for the inter-arrival times and its application is illustrated by a fit to real life data set.
No takes yet. Share an insight, caveat, or question.
Ong et al. (2019) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: