Opportunities for short-sea shipping in the Southern African Development Community (SADC) region: evidence based on discrete choice modelling by Konstantinus, Abisai

“…Subsequently, the following choice models were developed: Binary Logit, Mixed Logit and Integrated Choice and Latent Variable Structure models for the unimodal corridors; and Multinomial Logit, Nested Logit and Cross Nested Logit models for the intermodal corridors. …”
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Particle filtering on hybrid dynamical systems for sensor fault detection by Loubser, Simone Diana

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The development and application of a simultaneous two-way coupled, discrete element method and smoothed particle hydrodynamic model for spatial scale-up dynamics of laboratory vert... by Ssebunnya, Divine

“…The key variables assessed are media size and density, slurry density and viscosity and media fill. …”
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Multiscale decomposition of spatial lattice data for hotspot prediction

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DEM analysis of a conveyor transfer chute by Rossow, Jeandre

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Targeting uptake of exercise-promoting structured patient education intervention: foundational research and process description of a discrete choice experiment to understand percei... by Ezenwankwo, Elochukwu Fortune

“…The Multinomial Logit Regression was chosen to determine the main effect of the five attributes (the independent variables) on the choice alternatives (the dependent variables) upon when the discrete choice experiment is implemented. …”
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Modelling of resonant acoustic mixing of dry spherical particles

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Investigating the proactive avoidance of pre-emption conflicts with emergency vehicle emergency vehicle response times and route selection integration by Broeksma, Cornelis Reitz Daniël

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Modeling of flow in impeller stirred tanks using computational fluids dynamics by Siwale, Namwawa Alice

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Detailed model for robust feedback design of main steam temperatures in coal fired boilers by Polton, Cheriska

“…Control of the outlet steam temperature according to design conditions at variable loads is maintained via a balance between heat input (flue gas temperature and mass flow rate), evaporator outlet steam mass flow and spray water. …”
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Statistical classification procedures for analyisng functional data by Orsmond, Chane

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Modelling of the binary alloy solidification process by McAdie, R L

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Credit scorecards in retail banking: enhancing interpretability through shapley values and evaluating the effectiveness of alternative data for improved accuracy by Hlongwane, Rivalani

“…While machine learning algorithms like random forest and eXtreme gradient boosting outperform traditional logistic regression in accuracy, their complex predictor variable representation hinders interpretability. To reconcile this, the study discretizes numerical variables, applies one-hot encoding, and employs Shapley values to derive interpretable credit scores for random forest, eXtreme gradient boosting, light gradient boosting machine, and categorical boosting models. …”
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Functional linear regression on Namibian and South African data by Mzimela, Nosipho

“…Once the continuous functions for the climate variables have been fitted, these are used as predictors in a functional regression model with the structural variables as responses. …”
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Spatio-temporal characteristics of the Agulhas leakage: a model inter-comparison study by Holton, Lisa E

“…As a consequence, this thesis reports the study of the mechanisms of variability of the Agulhas leakage in six ocean model outputs of varying resolution, vertical discretization and boundary conditions. …”
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Numerical methods for weather derivatives pricing by Nhangumbe, Clarinda

“…Generally, these variables are modelled separately. The frequency is modelled by the discrete models and the rain-fall amount by the continuous models. …”
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Mathematical models of vapor-compression systems for multivariable control of the refrigerant dynamics and indoor air conditions

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Nonparametric logistic regression using smoothing splines

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Theoretical and numerical aspects of problems in finite-strain plasticity by Eve, Robin Andrew

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