Wilhemina Adoma Pels

Statistics and Actuarial Science

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Research Summary

(inferred from publications by AI)

The researcher's work focuses on advancing statistical methodologies across diverse scientific domains, addressing challenges in classification, time series analysis, food security, health, finance, environmental science, higher education, hydrology, spectroscopy, and anomaly detection. Their research applies innovative statistical techniques to tackle real-world problems in areas such as fraud detection, climate change impacts, agricultural modeling, and public health analytics.

Research Themes

All Papers

A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions(2023)

Evaluating the Performance of Unit Root Tests in Single Time Series Processes(2020)

Modeling the Effect of Climate Change and Economic Growth on food Security Indicators in Ghana(2020)

A Call for Caution in Using Information Criteria to Select the Working Correlation Structure in Generalized Estimating Equations(2018)

Comparison of Parameter Estimators for Generalized Pareto Distribution under Peak over Threshold(2020)

Forecasting COVID-19 Confirmed Cases in Ghana: A Model Selection Approach(2021)

Evaluation of the effectiveness of the collegiate system of administration at Kwame Nkrumah University of Science and Technology, Ghana(2023)

Shrinkage Methods for Estimating the Shape Parameter of the Generalized Pareto Distribution(2023)

Information Criterion for Selecting Competing Models Using Different Weighting Schemes(2019)

Comparison of outlier detection techniques in non-stationary time series data(2021)

Modeling rainfall extremes along the coastal and Northern parts of Ghana(2024)

Collaboration Network

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Research Collaboration Map

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.