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Browsing by Author Usman, A

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Issue Date	Title	Author(s)
2017-03	Seasonal and Cyclic Forecasting for Hydro Electric Power Generating Station	Yakubu, Y; Usman, A; Alao, O. K
2020-06	Split-plot Central Composite Experimental Design Method for Optimization of Cake Height to Achieve desired Texture	Yakubu, Y; Aliyu, Z, Q; Usman, A; Evans, P. O
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
2010	STATISTICAL ASSESSMENT OF MODELS FOR DAURO CEREAL CROP	Busari, A, F; Usman, A
2010	Statistical Process Control on Production: A Case Study of Some Basic Chemicals Used in Pure Water Production	Usman, A; Nasir, M.K
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	A STUDY OF THE EFFECTS OF BAKING MATERIALS AND OVEN TEMPERATURE ON CAKE HEIGHT: SPLIT-PLOT CENTRAL COMPOSITE DESIGN APPROACH	Yakubu, Yisa; Aliyu, ZQ; Usman, A; Evans, PO
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
2019-05	Trend of Neonatal Mortality in Nigeria from 1990 to 2017 using Time Series Analysis	Usman, A; Sulaiman, M. A
2019-05	Trend of Neonatal Mortality in Nigeria from 1990 to 2017 using Time Series Analysis	Usman, A; Sulaiman, M. A

Showing results 31 to 40 of 40 < previous