Browsing by Subject "Linear regression"
Now showing items 1-6 of 6
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A proposed quantitative credit-rating methodology for South African provincial departments
(AOSIS, 2016)The development of subnational credit-rating methodologies affords benefits for subnationals, the sovereign and its citizens. Trusted credit ratings facilitate access to financial markets and above-average ratings allow ... -
Air movement on and around tailings storage facilities on the Highveld of South Africa
(North-West University (South Africa), Potchefstroom Campus, 2017)Dust from gold tailings storage facilities (TSFs) is problematic in certain areas of the South African Highveld. Many of these localities around TSFs are densely populated, which often result in tailings dust being a ... -
Development and comparison of payment behaviour prediction models for two South African state departments
(AOSIS, 2017)Background: No credit rating methodology currently exists for any of South Africa’s sub nationals. Aim: To develop a generic, quantitative credit rating methodology for the Department of Health and the Department of ... -
Die toepassing op en validering van ’n voorgestelde subnasionale kredietgraderingsmetodologie vir die Departement van Onderwys, met ’n gevallestudie
(LitNet, 2017)The development of subnational credit rating methodologies provides benefits for subnationals, the sovereign and its citizens. Trusted credit ratings facilitate access to financial markets, and superior ratings allow for ... -
Investigation into linear regression influence measure diagnostics and bootstrap-based inferential techniques
(North-West University (South Africa)North-West University, 2020)Since extreme or influential observations drastically affect the fit of regression models, their detection plays a big role in regression model fi tting. Many traditional diagnostic techniques employ single-case deletion ... -
Investigation of factorisation machines and its extensions to predictive models in a statistical context
(North-West University (South Africa), 2023)Factorisation machines originated from the field of machine learning and have gained popularity because of the high accuracy obtained in several prediction problems, particularly in the field of recommender systems. As ...