Nana Kena Frempong
The researcher's work is centered on integrating mathematical models with empirical data across diverse scientific domains, particularly in areas where predictive analytics and statistical methods are applied to solve complex problems. Foundational contributions include early explorations in fractional differential equations, which have since been expanded into broader applications. The researcher has integrated methodologies such as machine learning, statistical distributions, predictive maintenance models, Bayesian approaches, and quantum computing architectures into their work. This interdisciplinary approach spans fields like energy, finance, health sciences, education, and social sciences, demonstrating a trend towards applying theoretical advancements to real-world challenges. Their research highlights contributions through various methodologies and the development of practical tools for electoral modeling, financial copulas, stock market forecasting, biometric security, pharmacological studies, psychometric methods, and even medical imaging. This approach underscores both theoretical innovations and applied solutions, reflecting a holistic exploration of mathematical and statistical applications in scientific endeavors.
Faculty Biography
Nana Kena Frempong is an Associate Professor in the Department of Statistics and Actuarial Science at the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. He received a Ph.D. in Mathematical Statistics from the Kwame Nkrumah University of Science and Technology in October 2017. He was awarded two Master’s degrees in Applied Statistics and Biostatistics respectively, at the Universiteit Hasselt, Belgium, in 2007. His primary research interest is in the theory of estimation which focuses on deriving methodologies that help to improve statistical learning. He is interested in identifying new ways to apply methods from different disciplines in new settings. This includes modifying methodology from one area of statistics so that it may be applied in a separate area, or through applying statistical methods to novel problems in the real world of data analysis. Currently, he is involved with some data science techniques in Machine Learning. Nana Kena Frempong is passionate about the value of statistical thinking, and the use of statistical techniques as a means for improving decision-making. He collaborates with other scientists from engineering, biochemistry, building and construction. His passion is to make students understand the subject matter. He has a number of publications in referred journals and has published more than forty (40) articles in the Mathematics, Finance, Economics, and Statistics literature.
Advanced Statistical Methods and Models
Bayesian Methods and Mixture Models
Biometric Identification and Security
Construction Project Management and Performance
COVID-19 epidemiological studies
Educational Games and Gamification
Electricity Theft Detection Techniques
Energy Load and Power Forecasting
Financial Risk and Volatility Modeling
Fractional Differential Equations Solutions
Hemoglobinopathies and Related Disorders
Hepatitis B Virus Studies
Image and Signal Denoising Methods
Islamic Finance and Banking Studies
Machine Fault Diagnosis Techniques
Machine Learning and Data Classification
Machine Learning in Bioinformatics
Mathematical and Theoretical Epidemiology and Ecology Models
Microstructure and Mechanical Properties of Steels
Pharmacological Effects of Natural Compounds
Probabilistic and Robust Engineering Design
Psychology of Social Influence
Psychometric Methodologies and Testing
Quantum Computing Algorithms and Architecture
Rough Sets and Fuzzy Logic
Smart Grid Energy Management
Statistical Distribution Estimation and Applications
Statistical Methods and Bayesian Inference
Statistics Education and Methodologies
Stock Market Forecasting Methods
Survey Methodology and Nonresponse
Venomous Animal Envenomation and Studies
Viral Infections and Outbreaks Research
Corrigendum to “Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method” [Heliyon Volume 9, Issue 8, August 2023, Article e18821]
Open AccessEnhancing Student Achievement in Circle Theorems: Integrating Computer Animation with the Jigsaw Cooperative Learning Model
Open AccessDecision-to-Incision Time of an Emergency Cesarean Delivery on Prolong Labour: Application of Partograph use at Kwadaso Municipal Hospital in the Ashanti Region of Ghana
Modified Ramos-Louzada-G family with baseline Weibull distribution: Properties, characterizations, regression, and applications
Open AccessStochastic modeling for energy generation in Sub Saharan Africa (Case Study of NAWEC Power Plants-The Gambia)
Open AccessGeneralization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets
Open AccessSimulation Study of Estimators of the Gamma Rate Parameter Using MLE as a Baseline Estimator
Efficient Training of One Class Classification-SVMs
Open AccessThe Odd Ramos-Louzada Generator of distributions with applications to failure and waiting times
Open AccessA New Generated Family of Distributions: Statistical Properties and Applications with Real-Life Data
Open AccessDeterminants of Length of Stay of Snakebite Victims in a Hospital. Statistical Modeling Approach
Open AccessSeemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method
Open AccessHybrid intelligent predictive maintenance model for multiclass fault classification
Modelling the volatility of the Ghana stock market: A comparative study
Open AccessHybrid Model for Stock Market Volatility
Open AccessSimulating stock prices using geometric Brownian motion model under normal and convoluted distributional assumptions
Open AccessPredictive Maintenance Model Based on Multisensor Data Fusion of Hybrid Fuzzy Rough Set Theory Feature Selection and Stacked Ensemble for Fault Classification
Open AccessA Mixture of Clayton, Gumbel, and Frank Copulas: A Complete Dependence Model
Open AccessWavelets Based Feature Extraction With PCA For Predicting Autism In Neonates Using Navïe Bayes Classifier
Open AccessDoes the data tell the true story? A modelling assessment of early COVID-19 pandemic suppression and mitigation strategies in Ghana
Open AccessGhana COVID-19 Daily Case Data by Date Sample Taken March-November 2020
Open AccessA parametric model for estimating force of infection for hepatitis B-case study Komfo Anokye Teaching Hospital
Dynamic linear state space model for forecasting peak and short-term electricity demand using kalman filtered monte carlo method
Does the Data Tell the True Story? A Modelling Study of Early COVID-19 Pandemic Suppression and Mitigation Strategies in Ghana
Open AccessImproved estimators for the rate parameter of gamma model using asymptotic properties
Open AccessA novel hybrid predictive maintenance model based on clustering, smote and multi-layer perceptron neural network optimised with grey wolf algorithm
Open AccessA simulation study to examine the bias of some sample measures of skewness
Statistical Modeling for Prediction of CCT Diagrams of Steels Involving Interaction of Alloying Elements
Open AccessOn a Hybrid Clayton-Gumbel and Gumbel-Frank Bivariate Copulas with Application to Stock Indices
Open AccessA Mathematical Model for Mycolactone Toxin Reaction and Di usion in Cell Cytoplasm
Open AccessHybrid Clayton-Frank Convolution-Based Bivariate Archimedean Copula
Open AccessPredicting likelihood of cost overrun in educational projects
Fitting Finite Mixtures of Generalized Linear Regressions on Motor Insurance Claims
Open AccessOn Two Random Variables and Archimedean Copulas
Open AccessThe Fundamental Matrix of the Simple Random Walk with Mixed Barriers
Open AccessParametric time overrun estimation of building projects
Accessing Individual Students Academic Performance Using Random Effect Analysis (Multilevel Analysis)
Fractional Order Malaria Model With Temporary Immunity
Open AccessFractional Order SIR Model with Constant Population
On Some Compartmental Models for Ebola Disease
Open AccessModeling Stock Market Volatility Using GARCH Approach on the Ghana Stock Exchange
Open AccessTime Series Analysis of the Exchange Rate of the Ghanaian Cedi to the American Dollar
Open AccessEmerging Relationships Between Macroeconomic Indicators and Real Economic Activities in Ghanaian Economy
Open AccessAn SITR Analysis of Treatment Model of Hepatitis B Epidemic
Open AccessVolatility Assessment of Equities on the Ghana Stock Exchange
Open AccessThreshold Analysis of Wavelet Based Fingerprint Feature Extraction Methods on Multiple Impression Dataset
An Item Response Model for Understanding Item Non-response in Ghanaian Surveys
Application of generalized estimating equation (GEE) model on students' academic performance
Open AccessItem Response Theory Model for Understanding Item Non- Response in Ghanaian Surveys
Open AccessThe incidence of malaria and the comparison of hematological and biochemical indices of Plasmodium falciparum‐parasitemic and aparasitemic sickle cell disease (SCD) patients
Department of Statistics and Actuarial Science
Kwame Nkrumah University of Science and Technology