Volume 4, Issue 2 - 2 Articles
This issue presents two research articles that highlight the role of technology and data in solving real-world problems. The first article explores 5G network deployment in Sub-Saharan Africa, focusing on how mobile companies can adjust their business models to stay competitive and support digital growth. It uses data analysis to show how different parts of these models impact success. The second article introduces a new statistical method for estimating population data more accurately using two-phase sampling. It improves on earlier techniques by reducing errors and bias. Together, these studies show how smart planning and precise methods can drive progress in both technology and research.
Front Cover
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # i–i, 2025
Editorial Board
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # ii–ii, 2025
Editorial
by Paul Andrew
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # iii–iii, 2025
Table of Contents
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # iv–iv, 2025
Analysis of 5G Business Model Components for Mobile Network Operators in Sub-Saharan Africa
by Laurence Banda
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # 1-10, 2025; DOI: 10.55708/js0402001
Abstract: The fierce race among mobile network operators (MNOs) to roll out fifth-generation (5G) networks has intensified. One of the potential markets where 5G deployment has increased tremendously is Sub-Saharan Africa. This is primarily due to rapid economic growth and the new opportunities that 5G networks and the associated technologies are expected to offer through sustainable… Read More
(This article belongs to the Section Operations Research and Management Science (ORM))
Product in Product Type Estimator with Exponential and Log Function to Estimate Population Mean Using DSS
by Sangeeta Malik, Rubal Sharma and Ruchi Gupta
Journal of Engineering Research and Sciences, Volume 4, Issue 2, Page # 11-17, 2025; DOI: 10.55708/js0402002
Abstract: To estimate the population, mean in two-phase stratified sampling, this paper aims to construct a new product in the product type estimator using exponential and log functions. When using two samples for stratification, this study attempts to solve the equation for bias and mean squared error (MSE) up to the first degree of approximation (fda).… Read More
(This article belongs to the Section Mathematics (MAT))