Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts
A Huang - Statistical Modelling, 2017 - journals.sagepub.com
Conway–Maxwell–Poisson (CMP) distributions are flexible generalizations of the Poisson
distribution for modelling overdispersed or underdispersed counts. The main hindrance to …
distribution for modelling overdispersed or underdispersed counts. The main hindrance to …
A new model for over-dispersed count data: Poisson quasi-Lindley regression model
E Altun - Mathematical Sciences, 2019 - Springer
In this paper, a new regression model for count response variable is proposed via re-
parametrization of Poisson quasi-Lindley distribution. The maximum likelihood and method …
parametrization of Poisson quasi-Lindley distribution. The maximum likelihood and method …
Dealing with under‐and over‐dispersed count data in life history, spatial, and community ecology
Count data arise frequently in ecological analyses, but regularly violate the equi‐dispersion
constraint imposed by the most popular distribution for analyzing these data, the Poisson …
constraint imposed by the most popular distribution for analyzing these data, the Poisson …
Exploring the relationship between dividend policy, the COVID-19 crisis, and stock market reaction: empirical insights from Indonesian real estate and property firms
The economic turbulence experienced during the COVID-19 crisis in Indonesia in 2020
provides a backdrop for this study, which aims to investigate the relationship between the …
provides a backdrop for this study, which aims to investigate the relationship between the …
A simple and adaptive dispersion regression model for count data
Regression for count data is widely performed by models such as Poisson, negative
binomial (NB) and zero-inflated regression. A challenge often faced by practitioners is the …
binomial (NB) and zero-inflated regression. A challenge often faced by practitioners is the …
An one-parameter compounding discrete distribution
E Altun, GM Cordeiro, MM Ristić - Journal of Applied Statistics, 2022 - Taylor & Francis
In this study, a new one-parameter discrete distribution obtained by compounding the
Poisson and xgamma distributions is proposed. Some statistical properties of the new …
Poisson and xgamma distributions is proposed. Some statistical properties of the new …
Generalized Poisson–Lindley linear model for count data
W Wongrin, W Bodhisuwan - Journal of Applied Statistics, 2017 - Taylor & Francis
The purpose of this paper is to develop a new linear regression model for count data,
namely generalized-Poisson Lindley (GPL) linear model. The GPL linear model is …
namely generalized-Poisson Lindley (GPL) linear model. The GPL linear model is …
Deviance residual-based Shewhart control chart for monitoring Conway-Maxwell-Poisson profile under the rk class estimator
U Mammadova, MR Özkale - Quality Technology & Quantitative …, 2024 - Taylor & Francis
In this study, we first propose the rk class estimator in COM-Poisson regression, and then we
introduce the Shewhart control chart using the deviance residuals obtained from the rk class …
introduce the Shewhart control chart using the deviance residuals obtained from the rk class …
A new two-parameter discrete poisson-generalized Lindley distribution with properties and applications to healthcare data sets
E Altun - Computational Statistics, 2021 - Springer
Mixed-Poisson distributions have been used in many fields for modeling the over-dispersed
count data sets. To open a new opportunity in modeling the over-dispersed count data sets …
count data sets. To open a new opportunity in modeling the over-dispersed count data sets …
A simple and useful regression model for underdispersed count data based on Bernoulli–Poisson convolution
Count data is often modeled using Poisson regression, although this probability model
naturally restricts the conditional variance to be equal to the conditional mean …
naturally restricts the conditional variance to be equal to the conditional mean …