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On modeling zero-inflated insurance data
The Journal of Risk Model Validation, 20160 ...
Pérez Sánchez, J. M. +1 more
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A flexible zero-inflated model to address data dispersion
Computational Statistics & Data Analysis, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kimberly F. Sellers, Andrew M. Raim
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Abstract The prequel to this review provided an extensive treatment of classic zero‐inflated count regression models where a univariate discrete distribution is used for the count regression component of the model. The treatment of zero inflation beyond the classic univariate count regression setting has seen a substantial increase in
Derek S. Young +2 more
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Zero-inflated Bell regression models for count data
Journal of Applied Statistics, 2019By starting from the one-parameter Bell distribution proposed recently in the statistic literature, we introduce the zero-inflated Bell family of distributions. Additionally, on the basis of the proposed zero-inflated distribution, a novel zero-inflated regression model is proposed, which is quite simple and may be an interesting alternative to usual ...
Artur J, Lemonte +2 more
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Modeling Zero-Inflated Microbiome Data
2018In this chapter, we introduce and illustrate how to model zero-inflated microbiome data. In Sect. 12.1, we briefly introduce modeling zero-inflated data. The remaining of this chapter is organized as follows: Sect. 12.2 introduce zero-inflated Poisson (ZIP) and negative binomial model (ZINB) and their implementations in real microbiome data. Section 12.
Yinglin Xia, Jun Sun, Ding-Geng Chen
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A Note on Tests for Zero-Inflation in Correlated Count Data
Communications in Statistics - Simulation and Computation, 2011Zero-inflated Poisson mixed regression models are popular approaches to analyze clustered count data with excess zeros. Prior to application of these models, it is essential to examine the necessity of the adjustment for zero outcomes. The existing literature, however, has focused only on score tests for testing the suitability of zero-inflated models ...
Liming Xiang, Guo Shou Teo
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A score test for zero-inflation in multilevel count data
Computational Statistics & Data Analysis, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abbas Moghimbeigi +3 more
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Modeling zero inflated count data
2009A natural approach to analyzing the effect of covariates on a count response variable is to use a Poisson regression model. A complication is that the counts are often more variable than can be explained by a Poisson model. This problem, referred to as overdispersion, has received a great deal of attention in recent literature and a number of ...
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Bivariate Poisson–Poisson model of zero-inflated absenteeism data
Statistics in Medicine, 2006Bimodal distributions of counts with one mode at zero are often seen in medical research. In a health survey parents were asked the number of days their children missed their activities (Y(1)) and the number of days their children spent in bed (Y(2)) due to illness in the past four weeks. Both variables exhibited zero inflation. We consider a bivariate
Lam, KF, Cheung, YB
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Marginal models for zero inflated clustered data
Statistical Modelling, 2004Over the last decade or so, there has been increasing interest in ‘zero inflated’ (ZI) regression models to account for ‘excess’ zeros in data. Examples include ZI poisson (ZIP), ZI binomial (ZIB), ZI negative binomial and ZI tobit models. Recently, extensions of these models to the clustered data case have begun to appear.
Hall, Daniel B., Zhang, Zhengang
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