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Zero inflated negative binomial-generalized exponential distributionand its applications

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2014
In this paper, we propose a new zero inflated distribution, namely, the zero inflated negative binomial-generalized exponential (ZINB-GE) distribution. The new distribution is used for count data with extra zeros and is an alternative for data analysis with over-dispersed count data.
Sirinapa Aryuyuen   +2 more
openaire   +1 more source

Measles Disease Analysis in Bengkulu Province Using Zero Inflated Poisson Regression and Zero Inflated Negative Binomial Regression

open access: yesJournal of Statistics and Data Science, 2022
Zero Inflated Poisson regression (ZIP) and Zero Inflated Negative Binomial (ZINB) regression were used if there was overdispersion and no multicollinearity in the data. This study aims to analyze measles in Bengkulu Province using the ZIP and ZINB regression models. Among them are selecting the best model, seeing the influential variables from the best
openaire   +1 more source

Factors associated with scientific production citations in dentistry: Zero-inflated negative binomial regression and hurdle modelling. [PDF]

open access: yesF1000Res, 2023
Millones-Gómez PA   +4 more
europepmc   +1 more source

Exponentially weighted moving average chart using zero-inflated negative binomial distribution

open access: yesJournal of Statistical Computation and Simulation
Zero-inflated models are frequently used to deal with data having many zeros. A commonly used model for over-dispersed data containing zeros is known as the zero-inflated Poisson model. However, to account for the heterogeneity of counts that leads to excess variance besides inflation of zeros in the data using a more flexible model than the zero ...
Ali Abbas, Sajid Ali, Ismail Shah
openaire   +3 more sources

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