Results 81 to 90 of about 594 (117)

A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives

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, Hinde, John, Deméatrio, Clarice G. B.   +2 more
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A Score Test for Zero Inflation in a Poisson Distribution

Biometrics, 1995
When 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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Small Area Estimation for Zero-Inflated Data

Communications in Statistics - Simulation and Computation, 2011
The commonly used method of small area estimation (SAE) under a linear mixed model may not be efficient if data contain substantial proportion of zeros than would be expected under standard model assumptions (hereafter zero-inflated data). The authors discuss the SAE for zero-inflated data under a two-part random effects model that account for excess ...
Hukum Chandra, U. C. Sud
openaire   +1 more source

Document analysis and visualization with zero-inflated poisson

Data Mining and Knowledge Discovery, 2009
Data visualization is aimed at obtaining a graphic representation of high dimensional information. A data projection over a lower dimensional space is pursued, looking for some structure on the projections. Among the several data projection based methods available, the Generative Topographic Mapping (GTM) has become an important probabilistic framework
Dora Alvarez, Hugo Hidalgo 0001
openaire   +1 more source

Score Tests for Zero-Inflated Poisson Models

Computational Statistics & Data Analysis, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jansakul, N., Hinde, J. P.
openaire   +1 more source

Zero-Inflated Poisson Regression for Longitudinal Data

Communications in Statistics - Simulation and Computation, 2009
Medical and public health research often involve the analysis of repeated or longitudinal count data that exhibit excess zeros such as the number of yearly doctor visits by a group of individuals over a number of years. Zero-inflated Poisson (ZIP) regression models can be used to account for excess zeros in count data.
M. Tariqul Hasan, Gary Sneddon
openaire   +1 more source

Estimation of Zero-Inflation Parameter in Zero-Inflated Poisson Model

International Journal of Mathematics Trends and Technology, 2018
K.M.Sakthi vel, C.S.Raji tha
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Adjusting for covariates in zero-inflated gamma and zero-inflated log-normal models for semicontinuous data

2018
Semicontinuous data consist of a combination of a point-mass at zero and a positive skewed distribution. This type of non-negative data distribution is found in data from many fields, but presents unique challenges for analysis. Specifically, these data cannot be analyzed using positive distributions, but distributions that are unbounded are also ...
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Zero-inflation

2019
Peter J. Diggle, Emanuele Giorgi
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Spatial correlated incidence modeling with zero inflation

Biometrical Journal, 2023
Feifei Wang, Yang Li
exaly