Zero-Inflated Models is a class of statistical models that extend generalized linear models by incorporating a mixture distribution to account for excessive zeros in count data through a dual process of structural and sampling zeros.
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- JSJohn S. Preisser
University of North Carolina at Chapel Hill, United States
8 publications · 472 citations
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- WT
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Curtin University
Perth, Australia
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University of North Carolina at Chapel Hill
Chapel Hill, United States
17 h-index
76 publications
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Harvard University
Cambridge, United States
15 h-index
39 publications
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Universidade de São Paulo
São Paulo, Brazil
14 h-index
33 publications
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University of Hong Kong
Pok Fu Lam, Hong Kong
13 h-index
32 publications
946 citations
Johns Hopkins University
Baltimore, United States
13 h-index
35 publications
1.3K citations
University of Michigan
Ann Arbor, United States
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34 publications
3K citations
Duke University
Durham, United States
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32 publications
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CSDA · 22 publications · 1.7K citations
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- International Journal of Environmental Research and Public Health
18 publications · 438 citations
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- Biometrics
16 publications · 2.1K citations
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