Table of Contents

An Econometric Test of Semi-Strong Efficient Hypothesis on the Nigerian Stock Exchange

Amadi, I.U., Agbam, A.S. and Love C.N.                                                                                   1 – 22

Efficiency of OLS in Regression Models with Autocorrelated Disturbances

B.A. Uchendu                                                                                                                           23 – 26

Numerical Solution of Ordinary Differential Equations (O.D.E) Using Fourth Order

Runge-Kutta Method with Initial Value Conditions (I.V.C)

Goni, Umar M. Modu and Muktar Modu                                                                                  27 – 40

Efficient Use of Local Vegetable Extracts as Veritable Alternative Corrosion

Inhibitors (A Case Study of Ocimum basilicum and Amaranthus cordatus)

Michael Nwankwo O., Ndubuisi E. Idenyi and Oshionwu Lucky C.                                41 – 49

Modelling and Forecasting of Nigerian Crude Oil Prices Using Box–Jenkins Technique

Yakubu .M. Yeldu, Shehu .L.and Mukhtar .G.                                                                            50 – 59

The Role of Technology Transfer and Innovation in Addressing Problems of Climatic

Change to Enhancing Economic Development in Globalizing Africa

Okoro Njoku. O., Agbo Godwin. A. and Ekpe John. E.                                                              60 – 78

The Fitting of Arima Model in Forecasting Nigeria Gross Domestic Product (GDP)

Amadi, Innocent Uchenna and Aboko, Simon Igboye                                                                         79 – 90

Modelling of Monthly Nigerian Export Commodity Price Indices by Seasonal

Box-Jenkins Methods

Ette Harrison Etuk                                                                                                                   91 – 102

Domain Specific Modeling of Parameterized Objects

JaphethB.R. and Ogheneove E.E.                                                                                             103 – 110

The Effect of Thickness on Structural Properties of Cuals₂ Thin Films by Thermal Evaporation Technique

A.U. Moreh, M. Momoh, H.N. Yahya, K.U. Isah and B. Hamza                                                 111 – 119

On the Analytical Efficiency of the Extended Wilcoxon Matched Pairs Signed Rank Test

S.A. Abdulazeez and Lasisi A.R.                                                                                               120 – 127

ON THE ANALYTICAL EFFICIENCY OF THE EXTENDED WILCOXON MATCHED PAIRS SIGNED RANK TEST

¹S.A. Abdulazeez and ²Lasisi A.R.

¹Department of Mathematics, Statistics and Computer Science, Kaduna Polytechnic, Kaduna State, Nigeria.

²Department of Physics, Federal College of Education, Kontagora, Niger State, Nigeria.

E-mail: mailto:yinkasikiruabdul@yahoo.comlasisiar@yahoo.com

Abstract

The Extended Wilcoxons’ Matched Pairs Sign Rank Test is a non-parametric test which is equivalent to the t-test. This new method provides for an adjustment by the constant 0.5 in the conventional Wilcoxons’ matched pairs sign rank test. This adjustment is justified because we are approximating a discrete distribution by a continuous distribution. 0.5 is added when   and it is subtracted if.  k is the effective sample size. More efficient results are obtained with this method as illustrated by two data sets. This method should be viewed as a useful tool for solving new problems.

THE EFFECT OF THICKNESS ON STRUCTURAL PROPERTIES OF CuAlS2 THIN FILMS BY THERMAL EVAPORATION TECHNIQUE

A.U. Moreh¹, M. Momoh¹, H.N. Yahya¹, K.U. Isah² and B. Hamza¹

¹Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria

²Department of Physics, Federal University of Technology Minna, Niger State, Nigeria

E-mail: abumoreh@yahoo.co.uk

ABSTRACT

In this work, CuAlS₂ thin films of different thickness were deposited on corning 7059 glass substrate by two stages. In the first stage Cu-Al precursors were grown at room temperature by thermal evaporation and in the second stage Cu-Al precursors were converted to CuAlS₂ thin films by sulfurisation under sulfur atmosphere. The structural properties studied by means of XRD revealed that the films were of crystalline nature having tetragonal structure. For all the films the preferential orientation is (112), while the other orientation like (220) was also observed in the films depending upon the thickness of the films. The values of lattice constants, a and c agree strongly with ICDD data. Similarly, micro strain, dislocation density and grain size were found to be thickness dependent.

DOMAIN SPECIFIC MODELING OF PARAMETERIZED OBJECTS

Japheth¹ B. R. and Ogheneove² E. E.

             ¹Department of Mathematics/Computer Science, Niger Delta University, Yenagoa, Nigeria

            ²Department of Computer Science, University of Port Harcourt, Port Harcourt, Nigeria

E-mail: jbunakiye@yahoo.com, edward_ogheneovo@yahoo.com

ABSTRACT

Presented in this paper is a simplification platform for engineering design that redirects designers from the conventional form of vector geometry. Using programming features it will promote automatic interchange of parametric data used in the creation of graphic models and those used in the design analysis of the models in order to accomplish specific design tasks. The entire process of creating a final graphics model which is termed graphics design and which results in a graphics model will involve the aggregation of the graphics primitives, graphics assemblies and subassemblies to form the model. As a result an integrated domain of language constructs capable of enhancing the automatic data manipulation evolves. This integrated domain, which is actually an enhanced design modeling framework, will free the designer of being constrained by a limiting set of tools.

MODELLING OF MONTHLY NIGERIAN EXPORT COMMODITY PRICE INDICES BY SEASONAL BOX-JENKINS METHODS

Ette Harrison Etuk

Department of Mathematics/Computer Science

Rivers State University of Science and Technology, Port Harcourt, Nigeria

Email: ettetuk@yahoo.com                 

ABSTRACT

The time plot of a realisation ECPI of the series in Figure 1 reveals a slightly upward secular trend with no clear seasonal component. Seasonal (i.e. 12-monthly) differencing yields the series SDECPI which has a fairly horizontal trend and still no clear seasonality (see Figure 2). Augmented Dickey Fuller (ADF) unit root test adjudges both series ECPI and SDECPI as non-stationary. Non-seasonal differencing of SDECPI yields the series DSDECPI. Its time plot of Figure 3 reveals an overall horizontal trend and no clear regular seasonality. The ADF test shows that DSDECPI is seasonal. Its autocorrelation function in Figure 4 exhibits a significant negative spike at lag 12, an indication of 12-monthly seasonality and the presence of a seasonal moving average component of order one. Applying Surhatono’s (2011) modelling steps, the initial (0, 1, 1)x(0, 1, 1)₁₂ SARIMA fit is found to be adequate. 

THE FITTING OF ARIMA MODEL IN FORECASTING NIGERIA

GROSS DOMESTIC PRODUCT (GDP)

¹Amadi, Innocent Uchenna and ²Aboko, Simon Igboye

¹Department of Mathematics/Computer Science, Rivers State University of Science and Technology, Oroworukwo, Nigeria

²Department of Mathematics/Statistics, Rivers State College of Arts and Science Rumuola, Nigeria.

E-mail: amadiuchennainno@gmail.com, abokoigboye@gmail.com

ABSTRACT

This research focused on Arima modeling technique to the forecasting of Nigerian Gross Domestic Product between the period of 1980 – 2011. For statistical analysis we have used graphical methods to display data distributions, Autocorrelation Function (ACF), Partial Autocorrelation Functions (PACF), Residuals and forecast, and differencing to check for stationarity. The ARIMA (2,1,2) model was proposed for the data from the first differences which shows stability and invertibility. Forecasting were made for future observations up to fifteen (15) years which shows an increasing trend over time, and the Akaike Information Criteria (AIC) and the adjusted multiple correlation coefficient (adjusted R-square) provide a good summary of the total variability explained by the chosen fitted model.

THE ROLE OF TECHNOLOGY TRANSFER AND INNOVATION IN ADDRESSING PROBLEMS OF CLIMATIC CHANGE TO ENHANCING ECONOMIC DEVELOPMENT IN GLOBALIZING AFRICA

Okoro Njoku O., Agbo Godwin .A. and Ekpe John. E.

Department of Industrial Physics,

Ebonyi State University, Abakaliki, Nigeria.

E-mail: bathonjoku@gmail.com

ABSTRACT

Climate change poses daunting challenges to the future of humanities. Technology transfer and innovation are the effective and comprehensive approach for dealing with climate change issues. International cooperation on greenhouse gas mitigation and adaptation of climate change all involve in transfers of mitigated technologies or dissemination of knowledge on climate change. Technology transfer and innovation are inseparable component of any policy response of GHG mitigation and adaptation to climate change. In this paper, we delineate the scope of technology transfer and innovation as a routine way of combating this global challenge (climate change); concisely survey the literature regarding climatic change impact, technology transfer and innovation issues and ways of mitigating them to enhancing climatic friendly environment that can boost economic development in globalizing Africa. Thus, this paper concluded that for the pursuit of, technology transfer and innovation (TTAI) to contribute to global climatic change mitigation goals and address Africa’s economic development needs, it is necessary to broaden the framing of and financial mechanisms for (TTAI) projects to include the complex and systemic relationships amongst the governmental, educational, social, political, economic and cultural dimensions of technical capabilities and knowledge circulation within and between countries. This will enhance socio-technological and innovative transitions towards mitigating climatic change impact to enhancing economic development pathways in Africa.

EFFICIENT USE OF LOCAL VEGETABLE EXTRACTS AS VERITABLE ALTERNATIVE CORROSION INHIBITORS (A Case Study of Ocimum basilicum and Amaranthus cordatus) 

Michael Nwankwo O., Ndubuisi E. Idenyi and Oshionwu Lucky C.

Department of Industrial Physics

Ebonyi State University, Abakaliki, Nigeria.

E-mail: michaelnwankwo@yahoo.com, edennaidenyi@yahoo.com, luckisma@yahoo.ie

ABSTRACT

A study of the efficient use of local vegetable extracts as veritable alternative corrosion inhibitors in controlling the corrosion of conventional engineering mild steel has been undertaken. The work studies the use of Ocimum basilicum and Amaranthus cordatus as corrosion inhibitors for conventional mild steel in 0.5M, 1.0M of both H₂SO₄ and NaCl. Weight-loss corrosion technique was employed in obtaining the corrosion penetration rate using the equation: Cpr =  . The experiment was carried out for 30 days and the result showed that corrosion of the mild steel was found to increase with increase in concentration of the base or acid and also decreased with increase in the volume of the extracts of these local vegetables. Expectedly, the inhibition efficiency was found to be greater in Sodium Chloride than in tetraoxosulphate (VI) acid because the acid contain more corrosion enhanced species. It was concluded then that Amaranthus cordatus and Ocimum basilicum can be used as good alternatives to replace most of the costly synthetic corrosion inhibitors currently being used. The finding ultimately will boost the economic development of Nigeria.

MODELLING AND FORECASTING OF NIGERIAN CRUDE OIL PRICES

USING BOX–JENKINS TECHNIQUE

Yakubu .M. Yeldu¹, Shehu .L.² and ³Mukhtar .G.

^{1, 2,3}Department of Statistics, College of Science and Technology

Waziri Umaru Federal Polytechnic, Birnin Kebbi, Kebbi State, Nigeria.

E-mail: yeldouyakubu@gmail.com, yeldouykb@yahoo.com

Abstract

Box – Jenkins modelling approach has been applied for the time series analysis of Weekly (Forcados, Nigeria) Spot Price FOB (Dollars per Barrel) from August 07, 2000 to September 02, 2013. Basic statistical properties of these series were investigated. After taking the first order difference the time series seems to be stationarity. Autocorrelation and partial autocorrelation plots were used to make tentative identification of the form and order of Box – Jenkins Autoregressive Integrated Moving Average (ARIMA) models. Initially several non – seasonal ARIMA models were postulated for further analysis. These models were then estimated for their adequacy based on the significance of the parameter estimates, mean square and Box – Pierce (Ljung – Box) statistics. Based on these criterion ARIMA (2, 1, 2) model fitted adequately and was also used for short term forecasting. The estimated model is: .