COM-negative binomial distribution: modeling overdispersion and ultrahigh zero-inflated count data

DOI10.1007/s11464-018-0714-zzbMath1401.60022arXiv1704.05050OpenAlexW2605944554WikidataQ61920242 ScholiaQ61920242MaRDI QIDQ1787154

Kai Tan, Bo Li, Hui-Ming Zhang

Publication date: 4 October 2018

Published in: Frontiers of Mathematics in China (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1704.05050

zbMATH Keywords

overdispersioninfinite divisibilityzero-inflated datadiscrete Kolmogorov-Smirnov testStein's characterization

Mathematics Subject Classification ID

Infinitely divisible distributions; stable distributions (60E07) Point estimation (62F10) Axioms; other general questions in probability (60A05)

Related Items (5)

A multilevel zero-inflated Conway–Maxwell type negative binomial model for analysing clustered count data ⋮ Some characterizations and properties of COM-Poisson random variables ⋮ Law of iterated logarithm and model selection consistency for generalized linear models with independent and dependent responses ⋮ Generalized integrated Cauchy functional equation with applications to probability models ⋮ When is the Conway-Maxwell-Poisson distribution infinitely divisible?

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