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D. C. Bartholomew

Publications (4)

Impact of Maternal Education and Age on Weight of Child at Birth: Use of Multinomial Logistic Model

D. C. Bartholomew, O. E. Biu & D. Enegesele · Asian Journal of Probability and Statistics · 2022

The World Health Organization (WHO) prescribed 2.5 kilograms to 4.2 kilograms as the standard for normal birth weight (NBW) and every child whose birth weight is below the lowest bound is regarded as low birth weight (LBW) while above the highest bound is regarded as macrosomia....

Open access Research Article 10.9734/ajpas/2022/v18i230444

Forecasting Renewable Energy Shares Using ARIMA and a Grey-Box Model: Evidence from Four Developed and Developing Economies

Hycinth C. Iwu, D. C. Bartholomew, O. C. Abiahu & K. T. Onyeawugosi · Journal of Energy Research and Reviews · 2026

This study evaluates ARIMA and hybrid Grey-Box models for forecasting the share of renewable energy in total final energy consumption in Angola, Canada, France, and Nigeria. Annual World Bank data from 1990 to 2021 were analysed using exploratory analysis, stationarity testing, a...

Open access Research Article 10.9734/jenrr/2026/v18i11549

Assessment of the Disparities in the Applications to Higher Education in Nigeria: A Coefficient of Variation Approach

C. P. Obite, D. C. Bartholomew, G. U. Ugwuanyim & N. P. Olewuezi · Asian Journal of Advanced Research and Reports · 2020

In this paper, we used the univariate coefficient of variation to estimate the disparities in the Joint Admissions and Matriculation Board (JAMB) applicants in all the States for both male and female from 2010 to 2018 and the multivariate coefficient of variation to estimate the...

Open access Research Article 10.9734/ajarr/2020/v8i330200

Multicollinearity Effect in Regression Analysis: A Feed Forward Artificial Neural Network Approach

C. P. Obite, N. P. Olewuezi, G. U. Ugwuanyim & D. C. Bartholomew · Asian Journal of Probability and Statistics · 2020

In this study we compared the performance of Ordinary Least Squares Regression (OLSR) and the Artificial Neural Network (ANN) in the presence of multicollinearity using two datasets – a real life insurance data and a simulated data – to know which of the methods, models a highly...

Open access Research Article 10.9734/ajpas/2020/v6i130151