A Comparative Study of Probability Distribution Models for Number of Antenatal Visits

There are several complications that arise as a result of lack or insufficient antenatal care received by pregnant women. Studies show that lack of education, poverty and several other factors give rise to low antenatal attendance in Nigeria and the consequences are grievous. This study was aimed at determining the factors that affect the frequency of antenatal visits in Nigeria. Data were obtained from the Demographic and Health Survey carried out in Nigeria. With these data, bar chart was used to describe the distribution of the data and the data showed evidence of zero inflation. Poisson, Negative Binomial, Zero-Inflated Poisson, Zero-Inflated Negative Binomial, Poisson Hurdle, Negative Binomial Hurdle distribution models were subjected to goodness of fit test to determine the distribution that fits the data most.