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Browsing by Author Usman, A
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Showing results 19 to 38 of 40
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Issue Date
Title
Author(s)
2005
MANOVA PROCEDURES WIYH RANDOMIZED COMPLETE BLOCK DESIGN : A CASE STUDY OF SELECTED VARIETIES OF SUGARCANE
Adeleke, B. L
;
Usman, A
2005-03-01
MANOVA Procedures with Randomised Complete Block Design: A Case study of some selected varieties of sugar cane
Usman, A
;
Adeleke, B L
2022-08-08
Mathematical model of COVID-19 transmission dynamics incorporating booster vaccine program and environmental contamination
Usman, A
;
Akinwande, N.I.
;
Ashezua, T.T.
;
Gweryina, , R.I.
;
Somma, S.A.
;
Oguntolu, F.A.
;
Abdurrahman, O.N.
;
Kaduna, , F.S.
;
Adajime, T.P.
;
Kuta, F A
;
Abdulrahman, S.
;
Olayiwola, R O
;
Enagi, A I
;
Bolarin, G A
;
Shehu, MD
2017
Mathematical Modeling of an Intelligent Poultry Feed Dispensing System
Ameh, Christian A
;
Olaniyi, Olayemi Mikail
;
Dogo, E. M.
;
Usman, A
;
Aliyu, S
;
Alkali, B
2021-10-25
MODELLING AND FORECASTING VOLATILITY IN NIGERIA: EVIDENCE FROM THE STOCK MARKET
Zubairu, A. U
;
Usman, A
2017
Modelling Mean Surface Temperature of Nigeria Using Geostatistical Approach.
Isah, A
;
Attah, G.Y
;
Abdullahi, U
;
Usman, A
2009-04
Multiple Regression Model for the sSignificance of Age and Weight of Pregnant Mother's In Relation to theeir Birth Weight
Usman, A
;
Ochoche, A
;
Kehinde, I. S
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
2016-07
Phytochemical and antibacterial investigations of moringa (Moringa oleifera) leaf extract on selected bacterial pathogens
Abubakar, I
;
Usman, A
2017-01
Power Analysis of the I,ikelihood Ratio Tests for Exponential Populations
Yahya, W. B
;
Kolade, E. I
;
Garba, M. K
;
Usman, A
2021-06
Prediction of Vehicular Accidents along Lokoja-Abuja-Kaduna Express Way, Nigeria Using Grey-System Model Gm(1,1)
Usman, A
;
Saeed, O. B
;
Abubakar, U. Y
;
Lawal, A
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