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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...
Enregistré dans:
| Publié dans: | J Appl Stat |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2017
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| Sujets: | |
| Accès en ligne: | 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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