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Sensitivity of Score Tests for Zero-Inflation in Count Data
AbstractIn many biomedical applications, count data have a large proportion of zeros and the zero‐inflated Poisson regression (ZIP) model may be appropriate. A popular score test for zero‐inflation, comparing the ZIP model to a standard Poisson regression model, was given by van den Broek.
Liming Xiang, Andy H Lee, Wing K Fung
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A natural experiment is reported in which the performance of two cohorts of undergraduate students on identical tests of cognitive achievement is compared under differing conditions of proctoring and modes of administration, total N = 302. Between-subjects and within-subjects analyses reveal clear effects of test score inflation in the unproctored ...
Carstairs, Jane, Myors, Brett
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Score Tests for Zero-Inflation in Overdispersed Count Data
Communications in Statistics - Theory and Methods, 2010The negative binomial (NB) model and the generalized Poisson (GP) model are common alternatives to Poisson models when overdispersion is present in the data. Having accounted for initial overdispersion, we may require further investigation as to whether there is evidence for zero-inflation in the data. Two score statistics are derived from the GP model
James Hardin, Zhao Yang, Cheryl L Addy
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Score Tests for Zero-Inflation and Overdispersion in Two-Level Count Data
Computational Statistics and Data Analysis, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hwa Kyung Lim
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Score Tests for Zero Inflation in Generalized Linear Models
Canadian Journal of Statistics, 2000AbstractThe authors develop score tests of goodness of fit for discrete generalized linear models against zero inflation. The binomial and Poisson models are treated as examples, and in the latter case the proposed test reduces to that of Broek (1995). Some simulation results and an illustrative example are presented.
Sudhir Paul, Dianliang Deng
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