A new model for over-dispersed count data: Poisson quasi-Lindley regression model

DOI10.1007/S40096-019-0293-5zbMath1452.62185OpenAlexW2957024489WikidataQ127528828 ScholiaQ127528828MaRDI QIDQ2179005

Emrah Altun

Publication date: 12 May 2020

Published in: Mathematical Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40096-019-0293-5

zbMATH Keywords

count datamaximum likelihoodPoisson regressionmethod of momentsover-dispersionnegative-binomial regression

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Exact distribution theory in statistics (62E15)

Related Items (8)

A new two-parameter discrete Poisson-generalized Lindley distribution with properties and applications to healthcare data sets ⋮ A new statistical approach to model the counts of novel coronavirus cases ⋮ Random forests in count data modelling: an analysis of the influence of data features and overdispersion on regression performance ⋮ Bayesian inference for the negative binomial-generalized Lindley regression model: properties and applications ⋮ Unnamed Item ⋮ Poisson-modification of the Quasi Lindley optimal generalized regression estimator ⋮ A new one-parameter discrete distribution with associated regression and integer-valued autoregressive models ⋮ An one-parameter compounding discrete distribution

Uses Software

• GWRM

Cites Work

• A hyper-Poisson regression model for overdispersed and underdispersed count data
• A generalized Waring regression model for count data
• Generalized Poisson–Lindley Distribution
• A new count model generated from mixed Poisson transmuted exponential family with an application to health care data
• A modified Conway–Maxwell–Poisson type binomial distribution and its applications
• A new discrete distribution: properties and applications in medical care
• Generalized Poisson–Lindley linear model for count data
• Modelling claim number using a new mixture model: negative binomial gamma distribution
• A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution

This page was built for publication: A new model for over-dispersed count data: Poisson quasi-Lindley regression model