| 1 |
Author(s):
S. A. Jimoh, Ebenezer Ajomole, E. C. Ajila.
Page No : 1-15
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Transient Dynamics of Timoshenko Beams Subjected to Moving Loads in Turbulent Environments.
Abstract
This paper investigates the transient response of Timoshenko beams under moving loads in turbulent environments. The study incorporates the effects of shear deformation, rotary inertia, and dynamic aerodynamic forces caused by turbulence. The governing equations are derived from Timoshenko beam theory and coupled with an aerodynamic force model that accounts for mean and fluctuating wind velocities. A spectral representation of turbulent forces is employed to simulate realistic wind-induced forces. Numerical simulations are conducted using both the spectral element method (SEM) and the finite element method (FEM), enabling a comparison of their accuracy and computational efficiency. Results are presented for various load velocities and turbulence intensities, highlighting the advantages and limitations of each method. This study provides valuable insights into the dynamic behavior of beams in challenging environmental conditions, offering practical applications in civil, mechanical, and aerospace engineering.
| 2 |
Author(s):
Moffat Victoria Ekpedeme, Iseh Matthew Joshua.
Page No : 16-39
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Examining the Influence of Basket of Commodities on Consumer Price Index using Stepwise Regression Analysis.
Abstract
This study adopts the concept of stepwise regression analysis with the aim of generating a model to examine the influence of basket of commodities on consumer price index (CPI) in both rural and urban areas in Nigeria. Data used is gotten from the CBN data bank. The result of analysis shows that (housing, water, electricity, gas and other fuel), (food and non alcoholic beverages), (alcoholic beverage, tobacco and kola) (clothing and foot wear), (health), (furnishing and household equipment maintenance), (restaurant and hotels) and (education) are the variables that mostly affect the urban area. Also, for the Rural area, it is observed that (housing, water, electricity, gas and other fuel), (food and non alcoholic beverages), (alcoholic beverage, tobacco and kola), (clothing and foot wear), (health), (furnishing and household equipment maintenance), (miscellaneous goods and services), and (transport) are the variables that contributes significantly. Therefore, the independent variables that have contributed significantly and common to both urban and rural areas are , , , , , and . However, it was noticed that, among the indicators in the basket of commodities, (restaurant and hotels) and (education) have effect only on the urban area while (miscellaneous goods and services) and (transport) were significant in the rural areas only. On this note, the choice of stepwise regression model has really paid off by distinguishing the cause and effect of basket of commodities on CPI for rural and urban areas.
| 3 |
Author(s):
Emwinloghosa Kenneth Guobadia, Jophet Ewere Okoh, Joel Isreal Eviano, Adebisi Ajibola Monsuru.
Page No : 40-47
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A New Triangular Probability Model: A Combinatorial Modification of Probability Distributions.
Abstract
The paper projects innovating means to probability modeling using integration method and the concept of normalization. It brings to light a probability distribution obtained by combining a probability density function of a distribution and a cumulative distribution function of another continuous probability model, to produce a triangular trend and a half bell-curve trend. Gumbel and exponential distributions are the root-distributions used for this development. The properties of the distribution include moments and related measures, and estimation, studied alongside simulation.
| 4 |
Author(s):
Essang Samuel Okon, Kolawole Olamide Michael, Francis Runyi Emmanuel, Ibeh Kingsley Kelechi, Ante Jackson Efiong, Ayuk Philia Agam, Okeke Stephen Ikenna, Otobi Augustine Ogbaji, Akpotuzor Sylvia Adaobi, Urekor Simon Ntol, Essien Daniel Edison, Ita Benedict Iserom, Akpan Christian Solomon.
Page No : 48-66
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On The Novel Damped Oscillatory Logistic Growth Model: A Hybrid Approach.
Abstract
The Damped Oscillatory Logistic Growth (DOLG) Model is introduced as a novel hybrid framework that integrates oscillatory dynamics, damping, and logistic growth into a single differential equation. This model extends classical systems such as the harmonic oscillator, logistic growth equation, and damped systems by combining their key features into a unified framework. Numerical solutions reveal rich dynamical behaviors, including damped oscillations, stabilization to carrying capacity, and phase-dependent growth patterns. The system’s stability is analytically and numerically confirmed, with trajectories converging to the non-trivial equilibrium (x,v) = (K,0) for all parameter regimes. The effects of damping, growth rate, and oscillation frequency are explored through time series and phase portraits, demonstrating the model’s versatility in capturing complex phenomena. Potential applications span ecology, economics and engineering, offering new insights into oscillating populations, cyclical growth, and mechanical systems with growth constraints. This study lays the groundwork for future research on hybrid dynamical systems and their interdisciplinary applications.
| 5 |
Author(s):
Obodo O. E., Umeh E. U..
Page No : 67-84
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Assessing the Variance of Maximum Likelihood Estimates for Truncated Pseudo-Lindley Poisson Distribution: A Simulation-Based Approach.
Abstract
This paper introduces a new lifetime probability distribution called the Truncated Pseudo-Lindley-Poisson Distribution (TPLPD), which generalizes the Pseudo-Lindley Distribution and the Poisson distribution. The distribution is a flexible distribution used to model count data with varying degrees of dispersion. This study also investigates the performance of Maximum Likelihood Estimation (MLE) for estimating the parameters of the Truncated Pseudo Lindley Poisson Distribution (TPLPD) through a simulation-based approach. The variance of MLE estimates is assessed under various sample sizes and parameter combinations. The results of the simulation study reveal that the variance of MLE estimates decreases as the sample size increases, and that the choice of parameter combinations significantly affects the variance.
| 6 |
Author(s):
Alaba Akinleye Obabire, Okiemute Gregory Agadaga.
Page No : 85-96
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The Socio-Economic Contributions of Establishment of Federal Polytechnic, Orogun, Delta State on the Host Community.
Abstract
Chi-square test of independence was used in this study to determine associations between establishment of Federal Polytechnic, Orogun and various important socio-economic determinants. Also, to know the significant contribution of the establishment of the Federal Polytechnic, Orogun on the socio-economic development of Orogun in Ughelli North Local Government Area of Delta State in Nigeria. Questionnaire was administered on 1000 respondents randomly selected from various categories of people in the community. Data collected was presented and analyzed using Statistical Package for Social Science, (SPSS) and Microsoft Excel. Most importantly various socio-economic impacts of this great Polytechnic is established in this study.
| 7 |
Author(s):
Mohammed Anono Zubair, Abubakar Haruna.
Page No : 97-128
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Multivariate Volatility Modelling of Stock Prices For Some Selected Nigerian Solid Minerals.
Abstract
The need to provide an acceptable model and forecast for stock prices of solid minerals in Nigeria is valuable for investors and analysts. It will empower them to better understand and manage the associated risks in stock price movements. This study aims to model and forecast the volatility of stock prices of solid minerals, like gold, tin, and zinc. The data utilized in this study was sourced from the Central Bank of Nigeria and Nigeria Stock Exchange. It is the monthly stock prices for selected solid minerals like; Gold, Tin, and Zinc. Multivariate GARCH models such as the VECH, BEKK, Diagonal VECH and Diagonal BEKK model were employed to provide the needed multivariate volatility modeling. The findings reveal that, on average, investors experienced positive returns, and a non-symmetric distribution. It was also discovered that intricate patterns exist within the volatility dynamics of these stocks. Volatility clustering, ARCH effects, and the persistence of volatility shocks over time was identified, emphasizing the non-random nature of stock returns volatility. It is recommended that investors and analysts carefully consider the implications of volatility clustering, ARCH effects, and persistence in volatility shocks when making investment decisions in the stock market, particularly regarding Gold, Tin, and Zinc stocks.
