Title of article :
Probability Distribution Fitting to Maternal Mortality in Nigeria
Author/Authors :
Ogunsola, I. A. Department of Statistics - College of Physical Sciences - Federal University of Agriculture, Abeokuta, Ogun State, Nigeria , Akinpeloye, J. O. Department of Epidemiology - Faculty of Publich Health - University of Ibadan, Nigeria , Dada, L. A. Department of Statistics - University of Ibadan, Nigeria
Abstract :
The consequences of Maternal Mortality (MM) cannot be overemphasized. It inhibits
population growth resulting into loss of lives among others. This work tends to obtain the maternal
mortality rates (MMR) in Nigeria, identify some fitted distributions to MMR and determine which
of the distributions best fits the data. A comprehensive Exploratory Data Analysis (EDA) was
carried on MM and the MMRs were obtained. Two parameters Gamma distribution, Weibull and
Exponential distributions were fitted for MM. Both BIC and AIC selection criteria were adopted in
selecting the most fitted distribution. The AIC for Gamma, Weibull and Exponential distributions
fitted for MMR were 1339.396, 1340.161 and 370.5244 respectively. Also, the BIC for Gamma,
Weibull and Exponential distributions fitted for MM were 1344.971, 1345.736 and 373.3119
respectively. It can be observed that Exponential distribution has the least AIC (370.5244) and
least BIC (373.3119), therefore, it is the most fitted distribution for MM. The estimate (standard
error) of exponential distribution on MM is 0.5853 indicating the fitness of the distribution being
the one with the least error. Conclusively, the model obtained from this study can be used to study
and monitor MM in Nigeria to achieve a better economy and thus brings about local and national
development.
Keywords :
Maternal mortality (MM) , MMR , Probability distribution , EDA , BIC
Journal title :
International Journal of Mathematical Modelling and Computations