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A robust score test of homogeneity for zero-inflated count data
Statistical Methods in Medical Research, 2020In many applications of zero-inflated models, score tests are often used to evaluate whether the population heterogeneity as implied by these models is consistent with the data. The most frequently cited justification for using score tests is that they only require estimation under the null hypothesis.
Wei-Wen Hsu +4 more
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Score Tests for Zero-Inflated Poisson Models
Computational Statistics & Data Analysis, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jansakul, N., Hinde, J. P.
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A score test for zero-inflation in multilevel count data
Computational Statistics & Data Analysis, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abbas Moghimbeigi +3 more
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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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Score tests for overdispersion in zero-inflated Poisson mixed models
Computational Statistics & Data Analysis, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhao Yang +2 more
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Score tests for zero-inflated double poisson regression models
Acta Mathematicae Applicatae Sinica, English Series, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xie, Feng-Chang +2 more
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A score test for overdispersion in zero‐inflated poisson mixed regression model
Statistics in Medicine, 2006AbstractCount data with extra zeros are common in many medical applications. The zero‐inflated Poisson (ZIP) regression model is useful to analyse such data. For hierarchical or correlated count data where the observations are either clustered or represent repeated outcomes from individual subjects, a class of ZIP mixed regression models may be ...
Xiang, L. +3 more
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Weighted Score test based EWMA control charts for Zero-Inflated Poisson Models
Computers & Industrial Engineering, 2021Abstract Zero-inflated Poisson models have been widely used to account for excess zero values in count data. Recent literature pointed out that the quality characteristic could be assumed to depend on a linear function of covariates in zero-inflated Poisson models, which is called risk-adjustment.
Qiuyan Hu, Liu Liu 0002
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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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Two-step testing in employee selection: is score inflation a problem?
Human Resource Management International Digest, 2008Unproctored Internet testing in employee selection has become increasingly popular over the past few years. However, there is a concern that cheating during unproctored administrations may influence the test results in terms of score inflation. The current research attempts to determine the extent of cheating on an unproctored Internet test of ...
Christopher D. Nye +3 more
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