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Issue Date	Title	Author(s)
2017-03	Assessing the Impact of University Library Services on Academic Performance of Students" :- Exploratory Factor Analysis of A Survey instrument	Yakubu, Y; Usman, A
2012	STUDENTS’ PERFORMANCE IN T8E JOINT ADMISSION AND MATRICULATION BOARD (JAMB) MATREMATICS EXAMINATION: A CASE STUDY OF NIGER STATE	Busari, A.F; Usman, A; Laminu, I; Jiya, A
2017	Modelling Mean Surface Temperature of Nigeria Using Geostatistical Approach.	Isah, A; Attah, G.Y; Abdullahi, U; Usman, A
2019-06	Isotropic and Anisotropic Variogram Models for Interpolating Monthly Mean Wind speed Data of Six Selected Wind Stations in Nigeria	Usman, A; Abubakar, U; James, M
2019-08	Binary Logistic Regression Methods for Modeling Broncho-Pneumonia Status in Infants from Tertiary Health Institutions in North Central Nigeria	Yakubu, Yisa; Ahmed, SS; Audu, I; Usman, A
2020	Split-plot Central Composite Experimental Design Method for Optimization of Cake Height to Achieve desired Texture	Yakubu, Yisa; Aliyu, ZQ; Usman, A; Evans, PO
2017-03	Assessing the impact of university library services on academic performance of students: Exploratory factor analysis of a survey instrument	Yakubu, Yisa; Usman, A
2021-10-28	Trades in stock market anywhere in the world is faced with intense volatility due to stocks prices instability in real time that is mostly driven by information and other market dynamics. This research examines two volatility models with two different error distributions innovations in modelling and forecasting the continuous compounded return series (CCRS) of Nigeria All Share Index (NGX ASI) spot prices spanning the period of January 30, 2012 to June 30, 2021. The Generalized Autoregressive Conditional Heteroscedastic (GARCH) and Asymmetric Power Autoregressive Conditional Heteroscedastic ARCH (APARCH) volatility models under Student-t Distribution (StD) and Generalized Error Distribution (GED) error innovations are utilized. The best-fitted model is determined using Akaike’s Information Criterion (AIC) while Mean Square Error (MSE) is used to evaluate forecasts performance of the fitted volatility models. The results from the analysis showed that amongst competing models, APARCH (1,1)-GED was selected to be the best fitted volatility model with better forecasting power for the CCRS-NGX-ASI spot prices. This is because it produces the smallest AIC and MSE values	Gana, Y; Usman, A
2021-10-25	Multivariate Analysis of Dynamic Transmission of Coronavirus Disease with Control Measures in Nigeria.	Sheshi, M.M; Usman, A
2021-01-25	Multivariate Analysis of Dynamic Transmission of Coronavirus Disease with Control Measures in Nigeria.	Sheshi, M.M; Usman, A