Likelihood-based methods for the zero-one-two inflated Poisson model with applications to biomedicine
| Autor: | Yuan Sun, Shishun Zhao, Man-Lai Tang, Guo-Liang Tian, Tao Li |
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| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Distribution (number theory) business.industry Applied Mathematics Zero (complex analysis) Poisson distribution General Relativity and Quantum Cosmology symbols.namesake Modeling and Simulation Expectation–maximization algorithm symbols Applied mathematics Poisson regression Statistics Probability and Uncertainty Bootstrap confidence interval business Biomedicine Mathematics Count data |
| Zdroj: | Journal of Statistical Computation and Simulation. 93:956-982 |
| ISSN: | 1563-5163 0094-9655 |
| DOI: | 10.1080/00949655.2021.1970162 |
| Popis: | To model count data with excess zeros, ones and twos, for the first time we introduce a so-called zero-one-two-inflated Poisson (ZOTIP) distribution, including the zero-inflated Poisson (ZIP) and t... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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