Robustness of zero-augmented models over generalized linear models in analysing fertility data in Nigeria
Abstract 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....
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-12-01
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Series: | BMC Research Notes |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13104-019-4852-5 |