Recent Developments in Mixed Poisson Distributions | Zendy

S. H. Ong | Zendy; Yeh Ching Low | Zendy; Kian Kok Toh | Zendy

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Recent Developments in Mixed Poisson Distributions

Author(s) -

S. H. Ong,

Yeh Ching Low,

Kian Kok Toh

Publication year - 2021

Publication title -

asm science journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.12

H-Index - 6

eISSN - 2682-8901

pISSN - 1823-6782

DOI - 10.32802/asmscj.2020.464

Subject(s) - poisson distribution , homogeneity (statistics) , statistical physics , random variable , compound poisson distribution , mathematics , poisson binomial distribution , zero inflated model , poisson regression , class (philosophy) , computation , statistics , compound poisson process , computer science , poisson process , physics , algorithm , population , artificial intelligence , sociology , demography

Mixed Poisson distributions are a class of distributions arising from the Poisson mean fluctuating as a random variable. Mixed Poisson distributions have been applied in diverse disciplines for modelling non-homogeneity in populations. This paper brings together recent work on this class of distributions with focus on specific models, computation and simulation, applications to stochastic and data modelling.

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