Browsing MSc.SS Theses and Dissertations (2021) by Issue Date
Now showing items 1-6 of 6
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Classification of X-rays images using Deep Convolutional Neural Network: COVID-19
(Strathmore University, 2021)The increased amount of labeled X-ray image archives has triggered increased research work in the application of statistics, machine learning, deep learning, and computer vision across the different domains. The fresh ... -
Robust statistical learning for optimal classification of imbalanced data
(Strathmore University, 2021)Neurobiological disorders such as Learning Disabilities (LD) are increasing becoming a major concern in education and health sectors, hence, precise identification of these disorders is critical. While neuropsychological ... -
Forecasting of the inflation rates in Kenya: a comparison of ANN, ARIMA and SARIMA
(Strathmore University, 2021)Monetary policies like price stability are regulated by the Central Bank of Kenya (CBK). Price stability is a key indicator of stable and predictable inflation. Accuracy and reliability in forecasting the inflation rates ... -
A Joint modelling approach of monthly anthropometry and time to death among hospitalized severe malnourished children in Kenya
(Strathmore University, 2021)Background: In follow up studies, interest often lies in understanding the association between biomarkers measured over time and a time-to-event outcome. For this, a two-stage separate analysis or the use of time-dependent ... -
Predictive modeling of Logistics Performance Index using Sparse Regression Models
(Strathmore University, 2021)The Logistics Performance Index (LPI), developed by The World Bank, is the only interactive benchmarking tool countries use to identify challenges and opportunities in trade logistics. It was developed using Principal ... -
Using semi-Markov process to model incremental change in HIV staging with cost effect
(Strathmore University, 2021)Over the past years, parametric and non-parametric methods have been used in modelling cost and effectiveness according to one studied event or one health state. In this study we used semi-Markov model in which the ...