Estimating Infant and Maternal Mortality in Nigeria using Overdispersion Modelling Methods
1 Department of Mathematics, University of Lagos, Lagos.
* Corresponding author: collinsorabuche@gmail.com
* Corresponding author: collinsorabuche@gmail.com
Abstract
In this study, models that provide more satisfactory statistical fit for data and factors that aect infant and maternal mortality rates in Nigeria are presented. Models that detect and correct overdispersion in data are used to analyze the data provided by the National Bureau of Statistics, Nigeria. Some of the models considered are Poisson, Poisson Normal, Negative Binomial, Quasi-likelihood and Bayesian models. The results presented are promising.
Keywords
Nonlinear Integro-differential Equations
Variation iteration method
Lagrange multiplier
Decomposition method
How to Cite
Orabuche, C. I., Adamu, M. O., & Oladokun, O. E. (2016). Estimating Infant and Maternal Mortality in Nigeria using Overdispersion Modelling Methods. Nigerian Journal of Mathematics and Applications, 25(1), 88-110.
C. I. Orabuche, M. O. Adamu, and O. E. Oladokun, "Estimating Infant and Maternal Mortality in Nigeria using Overdispersion Modelling Methods," Nigerian Journal of Mathematics and Applications, vol. 25, no. 1, pp. 88-110, June 2016.