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Bivariate zero-inflated negative binomial regression model with applications
Journal of Statistical Computation and Simulation, 2016ABSTRACTCount data often display excessive number of zero outcomes than are expected in the Poisson regression model. The zero-inflated Poisson regression model has been suggested to handle zero-inflated data, whereas the zero-inflated negative binomial (ZINB) regression model has been fitted for zero-inflated data with additional overdispersion.
Pouya Faroughi, Noriszura Ismail
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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.
Ridout, Martin +2 more
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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.
Ridout, Martin +2 more
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Some Theoretical Comparisons of Negative Binomial and Zero-Inflated Poisson Distributions
Communications in Statistics - Theory and Methods, 2015In this article, we compare the zero-inflated Poisson (ZIP) and negative binomial (NB) distributions based on three most important criteria: the probability of zero, the mean value, and the variance. Our results show that with same mean value and variance, the ZIP distribution always has a larger probability of zeros; with same mean value and ...
Changyong Feng +5 more
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A zero-inflated negative binomial regression model with hidden Markov chain
Economics Letters, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Peiming, Alba, Joseph D.
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Zero-inflated Poisson and negative binomial integer-valued GARCH models
Journal of Statistical Planning and Inference, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Parameter estimation of the zero inflated negative binomial beta exponential distribution
AIP Conference Proceedings, 2017The zero inflated negative binomial-beta exponential (ZINB-BE) distribution is developed, it is an alternative distribution for the excessive zero counts with overdispersion. The ZINB-BE distribution is a mixture of two distributions which are Bernoulli and negative binomial-beta exponential distributions.
Chutima Sirichantra, Winai Bodhisuwan
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Comparison of penalized zero inflated negative binomial regression methods
Journal of the Korean Data And Information Science Society, 2021Hye-Yeon Sin, Joonsung Kang
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Model Assisted Statistics and Applications
Count data sets in many real-world scenarios exhibit zero-inflation, characterised by an excessive zero counts. Zero-inflated negative binomial (ZINB) and hurdle negative binomial (HNB) models are commonly applied to handle this issue, particularly in the presence of overdispersion.
Pradnya Khandeparkar, Shaishavi Sabnis
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Count data sets in many real-world scenarios exhibit zero-inflation, characterised by an excessive zero counts. Zero-inflated negative binomial (ZINB) and hurdle negative binomial (HNB) models are commonly applied to handle this issue, particularly in the presence of overdispersion.
Pradnya Khandeparkar, Shaishavi Sabnis
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Predicting Cyanobacteria Abundance with Bayesian Zero-Inflated Negative Binomial Models
SSRN Electronic Journal, 2021Yirao Zhang, Nicolas M. Peleato
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