A Note on the Characterization of Zero-Inflated Poisson Model [PDF]
Open Journal of Statistics, 2015 Zero-Inflated Poisson model has found a wide variety of applications in recent years in statistical analyses of count data, especially in count regression models. Zero-Inflated Poisson model is characterized in this paper through a linear differential equation satisfied by its probability generating function [1] [2].
Nanjundan, G., Sadiq, P.
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A Poisson-Gamma Model for Zero Inflated Rainfall Data [PDF]
Journal of Probability and Statistics, 2018 Rainfall modeling is significant for prediction and forecasting purposes in agriculture, weather derivatives, hydrology, and risk and disaster preparedness.
Nelson Christopher Dzupire +2 more
doaj +3 more sources
Marginalized zero-inflated Poisson models with missing covariates. [PDF]
Biom J, 2018 AbstractUnlike zero‐inflated Poisson regression, marginalized zero‐inflated Poisson (MZIP) models for counts with excess zeros provide estimates with direct interpretations for the overall effects of covariates on the marginal mean. In the presence of missing covariates, MZIP and many other count data models are ordinarily fitted using complete case ...
Benecha HK +4 more
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Zero-Inflated Ordinal Mixed-Effects Models [PDF]
, 2022 Excess zeros issues are very common in count data. Furthermore, when different type of zero sources are suspected in the data, zero-inflated models, such as zero-inflated Poisson model and zero-inflated Negative Binomial model, are commonly used in ...
Naijun Chen (2720566)
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Zero-inflated Poisson regression mixture model [PDF]
Computational Statistics & Data Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yu, PLH, Li, WK, Lim, HK
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Zero-inflated models and estimation in zero-inflated Poisson distribution
Communications in Statistics - Simulation and Computation, 2017 In this paper, we briefly overview different zero-inflated probability distributions. We compare the performance of the estimates of Poisson, Generalized Poisson, ZIP, ZIGP and ZINB models through Mean square error (MSE), bias and Standard error (SE) when the samples are generated from ZIP distribution.
Yogita S. Wagh, Kirtee K. Kamalja
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A zero-inflated overdispersed hierarchical Poisson model [PDF]
Statistical Modelling, 2014 Count data are most commonly modeled using the Poisson model, or by one of its many extensions. Such extensions are needed for a variety of reasons: (1) a hierarchical structure in the data, e.g., due to clustering, the collection of repeated measurements of the outcome, etc.; (2) the occurrence of overdispersion (or underdispersion), meaning that the ...
Kassahun, Wondwosen +4 more
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Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]
, 2005 Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur.
Min, Aleksey, Czado, Claudia
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Poisson and zero inflated time trend regression.
, 2022 Poisson and zero inflated time trend regression.
Oluyemi A. Okunlola (12501402) +1 more
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Zero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates [PDF]
, 2006 This paper focuses on an extension of zero-inflated generalized Poisson (ZIGP) regression models for count data. We discuss generalized Poisson (GP) models where dispersion is modelled by an additional model parameter.
Erhardt, Vinzenz +2 more
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