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A Score Test for Zero Inflation in a Poisson Distribution
Biometrics, 1995When analyzing Poisson-count data sometimes a lot of zeros are observed. When there are too many zeros a zero-inflated Poisson distribution can be used. A score test is presented to test whether the number of zeros is too large for a Poisson distribution to fit the data well.
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Conditional tests for homogeneity of zero-inflated Poisson and Poisson-hurdle distributions
Computational Statistics & Data Analysis, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Edward J. Bedrick, Anwar Hossain
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CUSUM charts for monitoring a zero‐inflated poisson process
Quality and Reliability Engineering International, 2011A zero‐inflated Poisson (ZIP) process is different from a standard Poisson process in that it results in a greater number of zeros. It can be used to model defect counts in manufacturing processes with occasional occurrences of non‐conforming products.
Shuguang He 0001 +2 more
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On zero-inflated hyper-Poisson distribution and its applications
Communications in Statistics - Simulation and Computation, 2019Here we consider a zero-inflated version of the hyper-Poisson distribution and study some of its important properties through deriving its probability generating function and expressions for factor...
C. Satheesh Kumar, Rakhi Ramachandran
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Testing Homogeneity of Two Zero‐inflated Poisson Populations
Biometrical Journal, 2009AbstractThe problem of testing treatment difference in the occurrence of a safety parameter in a randomized parallel‐group comparative clinical trial under the assumption that the number of occurrence follows a zero‐inflated Poisson (ZIP) distribution is considered.
Siu Keung, Tse +3 more
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Statistical Analysis and Data Mining: An ASA Data Science Journal
ABSTRACT A marginalized zero‐inflated Poisson (MZIP) model has been developed to allow practitioners to make direct inferences about the marginal mean of count data while accounting for the excess zeros in the data. Overdispersion is a well‐documented issue in models that include the Poisson distribution, such as the traditional zero ...
Yuhe Wang, Yuecai Han
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ABSTRACT A marginalized zero‐inflated Poisson (MZIP) model has been developed to allow practitioners to make direct inferences about the marginal mean of count data while accounting for the excess zeros in the data. Overdispersion is a well‐documented issue in models that include the Poisson distribution, such as the traditional zero ...
Yuhe Wang, Yuecai Han
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Power and sample size calculations for Poisson and zero-inflated Poisson regression models
Computational Statistics & Data Analysis, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nabil Channouf +2 more
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Sample size calculations for hierarchical Poisson and zero-inflated Poisson regression models
Communications in Statistics - Simulation and Computation, 2019In biomedical research there is a growing interest in the use of hierarchical Poisson regression models.
Nabil Channouf +2 more
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Marginalized Zero-inflated Poisson Regression
2013The zero-inflated Poisson (ZIP) regression model is often employed in public health research to examine the relationships between exposures of interest and a count outcome exhibiting many zeros, in excess of the amount expected under sampling from a Poisson distribution.
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Estimation of Zero-Inflation Parameter in Zero-Inflated Poisson Model
International Journal of Mathematics Trends and Technology, 2018K.M.Sakthi vel, C.S.Raji tha
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