Analysis of discrete data by Conway-Maxwell Poisson distribution

DOI10.1007/s10182-014-0226-4zbMath1443.62045OpenAlexW1978486772MaRDI QIDQ1621679

Ramesh C. Gupta, Seng Huat Ong, Shin Zhu Sim

Publication date: 9 November 2018

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-014-0226-4

zbMATH Keywords

failure ratescore testoverdispersionstochastic comparisonsunderdispersion

Mathematics Subject Classification ID

Inequalities; stochastic orderings (60E15) Parametric hypothesis testing (62F03) Characterization and structure theory of statistical distributions (62E10) Reliability and life testing (62N05)

Related Items (14)

Extended Conway-Maxwell-Poisson distribution and its properties and applications ⋮ A generalized Conway-Maxwell-Poisson distribution which includes the negative binomial distribution ⋮ A multilevel zero-inflated Conway–Maxwell type negative binomial model for analysing clustered count data ⋮ Efficient estimation of COM-Poisson regression and a generalized additive model ⋮ Type I multivariate zero‐inflated COM–Poisson regression model ⋮ Mittag-Leffler function distribution -- a new generalization of hyper-Poisson distribution ⋮ Uniformly most powerful unbiased tests for the dispersion parameter of the Conway-Maxwell-Poisson distribution ⋮ A modified Conway–Maxwell–Poisson type binomial distribution and its applications ⋮ Unnamed Item ⋮ Bivariate Conway-Maxwell Poisson distributions with given marginals and correlation ⋮ A generalized inverse trinomial distribution with application ⋮ On Poisson-exponential-Tweedie models for ultra-overdispersed count data ⋮ COM-negative binomial distribution: modeling overdispersion and ultrahigh zero-inflated count data ⋮ Three-level zero-inflated Conway-Maxwell-Poisson regression model for analyzing dispersed clustered count data with extra zeros

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