Robustness of zero-augmented models over generalized linear models in analysing fertility data in Nigeria

OBJECTIVE: Fertility is a count data usually rightly skewed and exhibiting large number of zeros than the distributional assumption of the generalized linear models (GLMs). This study examined the robustness of zero-augmented models over GLMs to fit fertility data across regions in Nigeria. The 2013...

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Detalles Bibliográficos
Autores principales: Kareem, Yusuf Olushola, Morhason-Bello, Imran O., Adebowale, Ayo Stephen, Akinyemi, Joshua Odunayo, Yusuf, Oyindamola Bidemi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921497/
https://www.ncbi.nlm.nih.gov/pubmed/31852529
http://dx.doi.org/10.1186/s13104-019-4852-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921497/
https://www.ncbi.nlm.nih.gov/pubmed/31852529
http://dx.doi.org/10.1186/s13104-019-4852-5

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