Results 251 to 260 of about 1,087,600 (300)

Zero-inflated Poisson models for panel data

, 2006
Boucher, Jean-Philippe, Denuit, Michel, Guillén, Montserrat   +2 more
openaire   +1 more source

HiCPotts: An R/Bioconductor package to identify significant interactions in chromosome conformation capture data and model sources of biases

Osuntoki IG, Harrison A, Dai H, Bao Y, Zabet NR.   +4 more
europepmc   +1 more source

Colonial legacies in eponymous species names: a global network perspective

Bharadwaj A, Pick JL, Lenzner B.
europepmc   +1 more source

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

Biometrics, 2001
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 ...
John Hinde, Martin S Ridout, Clarice Garcia Borges Demétrio   +2 more
exaly   +2 more sources

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Score Test for Testing Zero-Inflated Poisson Regression Against Zero-Inflated Generalized Poisson Alternatives

Journal of Applied Statistics, 2013
In several cases, count data often have excessive number of zero outcomes. This zero-inflated phenomenon is a specific cause of overdispersion, and zero-inflated Poisson regression model (ZIP) has been proposed for accommodating zero-inflated data. However, if the data continue to suggest additional overdispersion, zero-inflated negative binomial (ZINB)
Noriszura Ismail, Hossein Zamani
exaly   +2 more sources

Zero-Inflated Poisson Models with Measurement Error in the Response

Biometrics, 2022
Abstract Zero-inflated count data arise frequently from genomics studies. Analysis of such data is often based on a mixture model which facilitates excess zeros in combination with a Poisson distribution, and various inference methods have been proposed under such a model.
Qihuang Zhang, Grace Y. Yi
openaire   +3 more sources

Tests for zero inflation in a bivariate zero‐inflated Poisson model

Statistica Neerlandica, 2009
The score test statistics for testing zero inflation and covariance parameter are proposed in the bivariate zero‐inflated Poisson (BZIP) regression model. The Monte Carlo studies show that the score test and likelihood ratio test for testing zero inflation underestimate the nominal significance level, while the score test for covariance parameter keeps
Lee, JungBok, Jung, Byoung Cheol, Jin, Seo Hoon   +2 more
openaire   +1 more source

Smooth Tests for the Zero‐Inflated Poisson Distribution

Biometrics, 2005
Summary In this article we construct three smooth goodness‐of‐fit tests for testing for the zero‐inflated Poisson (ZIP) distribution against general smooth alternatives in the sense of Neyman. We apply our tests to a data set previously claimed to be ZIP distributed, and show that the ZIP is not a good model to describe the data.
Rayner, J. C. W, Thas, Olivier
openaire   +3 more sources