Application Of Heligman And Pollard Model And Smooth Spline Poison Regression To Modeling Female Mortality In Nigeria

Child Mortality modeling has dominated the centre stage of Statistical Modeling. Little effort has been geared towards developing a mortality model that captured Nigeria general mortality rate. This research paper, focus on the Female Mortality Modeling using Heligman and Pollard Mortality model with Spline Smooth Poison Regression Model. We considered the robustness of the two models as they both fit into the Nigeria Female mortality data for 2002 to 2006. The Heligman and Pollard model fit the data very well but there is no Basic rule of estimating the parametes. Spline Smooth Poison Regression Model with the smoothing parameter to be 0.00316, with AIC to be 268.88 and BIC as 274.21 having effective dimension as 5.992.