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Hurdle Negative Binomial Regression Model
ICSA - International Conference on Statistics and Analytics 2019, 2021Poisson regression is a common regression model used for count data with equidispersion. However, in real data application, overdispersion often encountered, suggesting the seek for alternative model to the Poisson regression. In overdispersion data due to excess zeros and additional overdispersion in positive values, one of alternative model that can ...
Ayu Andika +2 more
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Generalized Binomial Regression Model
Biometrical Journal, 1995AbstractThe generalized negative binomial distribution has been found useful in fitting over‐dispersed as well as under‐dispersed count data. We define and study the generalized binomial regression model which is used to predict a count response variable affected by one or more explanatory variables.
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Post estimation and prediction strategies in negative binomial regression model
International Journal of Modelling and Simulation, 2020We addressed parameter estimation for low-dimensional and high-dimensional negative binomial regression models in the presence of overfitting and uncertainty about the subspace information.
S. Lisawadi, S. Ahmed, O. Reangsephet
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Wiley StatsRef: Statistics Reference Online, 2020
Negative binomial regression is a generalization of Poisson regression which loosens the restrictive assumption that the variance is equal to the mean made by the Poisson model.
E. Juarez-colunga, C. Dean
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Negative binomial regression is a generalization of Poisson regression which loosens the restrictive assumption that the variance is equal to the mean made by the Poisson model.
E. Juarez-colunga, C. Dean
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Correlated binomial regression models
Computational Statistics & Data Analysis, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pires, Rubiane M., Diniz, Carlos A. R.
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Testing inflated zeros in binomial regression models
Biometrical Journal, 2020AbstractBinomial regression models are commonly applied to proportion data such as those relating to the mortality and infection rates of diseases. However, it is often the case that the responses may exhibit excessive zeros; in such cases a zero‐inflated binomial (ZIB) regression model can be applied instead.
Peng Ye +4 more
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1996
Abstract A biological assay, or bioassay, is an experiment to study the reaction of a living organism to some material, usually a pharmaceutical preparation. When the only response recorded is presence or absence of the reaction, it is called a quantal response.
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Abstract A biological assay, or bioassay, is an experiment to study the reaction of a living organism to some material, usually a pharmaceutical preparation. When the only response recorded is presence or absence of the reaction, it is called a quantal response.
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Overdispersed negative binomial regression models
Communications in Statistics - Theory and Methods, 1992Overdispersion is a common phenomenon in actual data sets. It is important to have methods of dealing with extra variation in regression situations. This article develops tests for extra-negative binomial variation and gives some numerical methods to deal with it.
Dixi Xue, James A. Deddens
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Seemingly Unrelated Negative Binomial Regression
Oxford Bulletin of Economics and Statistics, 2000This paper discusses the specification and estimation of seemingly unrelated multivariate count data models. A new model with negative binomial marginals is proposed. In contrast to a previous model based on the multivariate Poisson distribution, the new model allows for over‐dispersion, a phenomenon that is frequently encountered in economic count ...
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Poisson and Negative Binomial Regression Analysis
2020Anusha Musunuru +3 more
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