This thesis aims to enhance the modelling capabilities of the Gompertz, Fr´echet, and Burr XII distributions using the harmonic mixture G family. These classical distributions are widely used in various fields to represent ...

This study aimed to propose the BSGARCH (1,1) model, a hybrid Basis Spline GARCH-type model suitable for modelling the volatility of nancial time series. The proposed model was compared with other classical GARCH-type ...

Despite the rapid advancement in the development of hybrid ensemble Machine Learning (ML) techniques in malignancy management, recurrence and mortality from Head and Neck Squamous Cell Carcinoma (HNSCC) subtypes have ...

This research presents two compartmental models on the transmission dynamics of Bacterial Meningitis, which best describes the scenario in real life. The first model is made up of seven (7) mutually exclusive epidemiological ...

The mechanism for growth, spread and vegetation pattern formation is largely unknown and poorly understood. To improve understanding of this mechanism, two mathematical models each consisting of three nonlinear partial ...

The aim of this study was to develop an Artificial Neural Network (ANN) Model for predicting the Ghanaian Cedi to US Dollar rate and the Ghanaian Cedi to Great Britain Pound rate with inflation, nominal growth, monetary ...