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Untangle the Structural and Random Zeros in Statistical Modelings
Count data with structural zeros are common in public health applications. There are considerable researches focusing on zero-inflated models such as zero-inflated Poisson (ZIP) and zero-inflated Negative Binomial (ZINB) models for such zero-inflated count data when used as response variable. Howeve...
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| Publicado no: | J Appl Stat |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6426322/ https://ncbi.nlm.nih.gov/pubmed/30906098 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/02664763.2017.1391180 |
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