Excess Zeros Modeling
Excess Zeros Modeling is a statistical modeling framework designed for count data that incorporates mechanisms to account for an observed frequency of zero counts exceeding the number predicted by standard count distributions, thereby distinguishing it from conventional models by explicitly addressing overrepresentation of zeros through modified probability structures.
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25.5K
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672
Authors
418
Institutions
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2017–2026
75
Variants
Zero-inflated Modeling
Parents
260
Regression Models for Count Data in<i>R</i>
Achim Zeileis, Christian Kleiber, Simon Jackman · Journal of Statistical Software · 2008 · 2.4K citations · Full text
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City University of Hong Kong
Hong Kong, Hong Kong
5 h-index
7 publications
518 citations
Texas A&M University
College Station, United States
5 h-index
9 publications
950 citations
Arizona State University
Tempe, United States
5 h-index
8 publications
3.6K citations
Curtin University
Perth, Australia
5 h-index
9 publications
737 citations

The University of Queensland
Brisbane, Australia
5 h-index
6 publications
1.3K citations
University College London
London, United Kingdom
4 h-index
6 publications
303 citations
University of Florida
Gainesville, United States
4 h-index
5 publications
761 citations
Cancer Research And Biostatistics
Seattle, United States
4 h-index
5 publications
193 citations
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17 publications · 802 citations
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CSDA · 8 publications · 917 citations
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8 publications · 1.7K citations
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