Richard Kodzo Avuglah
The researcher's work is centered on applying advanced statistical and computational techniques across diverse fields such as transportation, trade, finance, environmental science, health sciences, energy systems, biology, social behaviors, and economics. Utilizing innovative models and methodologies, the researcher addresses complex systems through applied mathematics and data analysis.
Faculty Biography
Dr. Richard Kodzo Avuglah is a Senior Lecturer at the Department of Statistics and Actuarial Science. He is a Financial Statistician. His research area includes Design of Experiments, and Statistical and Financial Modelling.He holds a degree in B.Sc Mathematics from the University of Cape Coast (1999) and an M.Sc degree in Financial Mathematics and a Ph.D in Applied Mathematical Statistics from the University of Kaiserslautern, Germany (2003 and 2011 respectively).
Agricultural risk and resilience
Agriculture and Rural Development Research
Economic and Environmental Valuation
Financial Risk and Volatility Modeling
FinTech, Crowdfunding, Digital Finance
Forest ecology and management
Global trade and economics
Global trade, sustainability, and social impact
Image and Signal Denoising Methods
Industrial Vision Systems and Defect Detection
Integrated Energy Systems Optimization
Malaria Research and Control
Optimal Experimental Design Methods
Probabilistic and Robust Engineering Design
Traffic and Road Safety
Venomous Animal Envenomation and Studies
Optimizing renewable energy integration: statistical models for grid stability and economic viability
Open AccessIdentifying Heterogeneous Preferences for Informal Sector Pension Plans in Ghana Using a Latent Class Discrete Choice Model
Open AccessGeographically weighted logistic regression model for identifying risk factors for malaria infection among under-5 children in Ghana
Open AccessSimulation Study of Estimators of the Gamma Rate Parameter Using MLE as a Baseline Estimator
Quantum Leap and Uptake for Technological Advances in Africa in the Era of the COVID-19 Crisis
Determinants of Length of Stay of Snakebite Victims in a Hospital. Statistical Modeling Approach
Open AccessSome Steps towards Experimental Design for Neural Network Regression
Open AccessA Mixture of Clayton, Gumbel, and Frank Copulas: A Complete Dependence Model
Open AccessImproved estimators for the rate parameter of gamma model using asymptotic properties
Open AccessApplication of Joint Generalized Linear Models in Determining Physical Support Factors that Influence Crop Yield in Northern Ghana
Open AccessOn a Hybrid Clayton-Gumbel and Gumbel-Frank Bivariate Copulas with Application to Stock Indices
Open AccessRECOGNITION OF FACE IMAGES UNDER VARYING HEAD-POSES USING FFT-PCA/SVD ALGORITHM
Hybrid Clayton-Frank Convolution-Based Bivariate Archimedean Copula
Open AccessOn Two Random Variables and Archimedean Copulas
Open AccessPerformance Assessment of Penalized Variable Selection Methods Using Crop Yield Data from the Three Northern Regions of Ghana
Open AccessImpact of Trade Policies on Wood Products Export in Ghana
Open AccessAnalysis of Crop Yield Physical Support Services Data Using Hierarchical Generalized Linear Models
Open AccessTime Series Behavior of the Volume of Wood Products Export in Ghana
Open AccessApplication of ARIMA Models to Road Traffic Accident Cases in Ghana
Modeling Road Traffic Fatality Cases in Ghana.
Modeling annual Coffee production in Ghana using ARIMA time series Model
Open AccessDepartment of Statistics and Actuarial Science
Kwame Nkrumah University of Science and Technology