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Dr. Taiwo Abass Ishola
Lecturer II (234) 8035045778 taiwo.abass@oouagoiwoye.edu.ng
Biography
Abass Ishola Taiwo started his University education in 1999 and obtained BSc in Statistics from Olabisi Onabanjo University Ago-Iwoye in 2006. He attended University of Ibadan, Nigeria for postgraduate studies between 2009 and 2011 and obtained MSc in Statistics from the University. He obtained his Phd in Statistics from Olabisi Onabanjo University in 2017 where he was as well appointed Assistant Lecturer in 2012. Presently, he has about 8 years of university teaching experience. He has supervised students’ research projects at under graduate and also has participated in researches involving application of statistical methods to changes in our immediate environment as its affect human and their general existence in Nigeria.
Awards/Fellowship
Course(s) Taught
Education
Publications
- Modeling and Forecasting Periodic Time Series data with Fourier Autoregressive Model https://www.researchgate.net/publication/338234384_Modeling_and_Forecasting_Periodic_Time_Series_data_with_Fourier_Autoregressive_Model
- PERFORMANCE OF AN OPTIMUM AUTOREGRESSIVE SPECTRAL ESTIMATION METHOD BASED ON SIGNAL LENGTH http://anale-informatica.tibiscus.ro/download/lucrari/17-1-33-Taiwo.pdf
- Modelling and Estimation of Climatic Variable using Time Series Trigonometric Analysis http://www.worldacademicunion.com/journal/1746-7233WJMS/wjmsvol14no03paper04.pdf
- STATISTICAL ANALYSIS OF CHILD MORTALITY AND ITS DETERMINANTS https://www.ajol.info/index.php/ijs/article/view/168323/157822
- Measuring Forecasting Performance of Vector Autoregressive and Time Series Regression Modelshttps://www.scihub.org/AJSIR/PDF/2013/1/AJSIR-4-1-49-58.pdf
- Parameter Estimation Methods for Fourier Regression Time Series Model http://njmaman.com/articles/2018/PAPER2.pdf
- AN IMPROVED PROCEDURE FOR FOURIER REGRESSION ANALYSIS https://anale-informatica.tibiscus.ro/download/lucrari/16-2-16-Taiwo.pdf
- Modeling Continuous Non-Linear Data with Lagged Fractional Polynomial Regression https://www.ajouronline.com/index.php/AJAS/article/view/5492
- FORECAST PERFORMANCE OF UNIVARIATE TIME SERIES AND ARTIFICIAL NEURAL NETWORK MODELS http://www.laujet.com/index.php/laujet/article/view/296