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A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives

Biometrics, 2001
Summary. Count data often show a higher incidence of zero counts than would be expected if the data were Poisson distributed. Zero‐inflated Poisson regression models are a useful class of models for such data, but parameter estimates may be seriously biased if the nonzero counts are overdispersed in relation to the Poisson distribution.
Martin S Ridout, Clarice G B Demetrio
exaly   +4 more sources

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Jeffreys Prior for Negative Binomial and Zero Inflated Negative Binomial Distributions

Sankhya A, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arnab Kumar Maity, Erina Paul
exaly   +3 more sources

The Zero-inflated Negative Binomial-Exponential Distribution and Its Application

Lobachevskii Journal of Mathematics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bodhisuwan, Rujira, Kehler, Adam
exaly   +2 more sources

A test for lack-of-fit of zero-inflated negative binomial models

Journal of Statistical Computation and Simulation, 2019
When a count data set has excessive zero counts, nonzero counts are overdispersed, and the effect of a continuous covariate might be nonlinear, for analysis a semiparametric zero-inflated negative ...
Chin-Shang Li, Shen-Ming Lee
exaly   +2 more sources

The zero-inflated negative binomial multilevel model: demonstrated by a Brazilian dataset

International Journal of Mathematics in Operational Research, 2017
Luiz Paulo Lopes Favero
exaly   +2 more sources

Zero-inflated non-central negative binomial distribution

Applied Mathematics-A Journal of Chinese Universities, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tian, Wei-zhong, Liu, Ting-ting, Yang, Yao-ting   +2 more
openaire   +1 more source

A new Stein estimator for the zero‐inflated negative binomial regression model

Concurrency and Computation: Practice and Experience, 2022
AbstractThe Zero‐inflated negative binomial (ZINB) regression models are mainly applied for count data that shows over‐dispersion and extra zeros. Multicollinearity is considered to be a significant problem in the estimation of parameters in the ZINB regression model. Thus, in order to alleviate the serious effects of multicollinearity, a new estimator
Muhammad Nauman Akram, Mohamed Reda Abonazel, Muhammad Amin, B. M. Golam Kibria, Nimra Afzal   +4 more
openaire   +1 more source

ZERO-INFLATED NEGATIVE BINOMIAL-LINDLEY DISTRIBUTION AND ITS APPLICATION

Far East Journal of Theoretical Statistics, 2019
Summary: There are increasingly many attempts made in expanding the classes of mixed and compound distributions, especially using Lindley distribution which gives the better fit for count data. Further, many researchers have shown a keen interest in generalizing the Lindley distribution.
Sakthivel, K. M., Rajitha, C. S.
openaire   +1 more source