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Home
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MSc (Exercise & Sport Science)
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2021  2026
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Mathematics & Statistics
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Mathematical models of malaria control with artificial feeders, odorants and bed nets
Author(s):
Ariho
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2015
Type:
Thesis / Dissertation
Vector behaviour influences the speed of disease spread in populations. The presence of vector bias towards hosts with...
Assessment of single factor structure in SATS36 categories
Author(s):
Al Shahrani
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2016
Type:
Thesis / Dissertation
The attitude of students toward statistics has an impact on students’ overall academic performance. For nonscience students...
The sineGordon equation and its application to black holes
Author(s):
Al Humaidi
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2015
Type:
Thesis / Dissertation
Linear and nonlinear wave equations are important in various aspects of mathematics and physics, including the study of black...
Effects of variable viscosity and variable permeability on fluid flow through porous media
Author(s):
Alharbi
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2016
Type:
Thesis / Dissertation
In this work, we study the effects of variable viscosity and variable permeability on singlephase fluid flow through porous...
Multipatch Laplace dispersal across biased interfaces
Author(s):
Beykzadeh
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2019
Type:
Thesis / Dissertation
In the study of the dispersal of species across a landscape, most previous models approximate heterogeneous landscapes by a...
Dynamics of a pathogenimmune interaction model
Author(s):
Alshobrami
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2013
Type:
Thesis / Dissertation
A new mathematical model is proposed to describe the interaction between the virus and the immune cells in an HIV infected...
A Poisson mixed modeling approach to longitudinal multinomial data of varying cluster sizes
Author(s):
Fu
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2020
Type:
Thesis / Dissertation
Longitudinal studies and categorical data analysis are commonly used in many areas, such as medicine, public health, and...
Multiplicative binary mixed models with application to spatial analysis of Atlantic cod data
Author(s):
Zhao
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2021
Type:
Thesis / Dissertation
In many subject areas, various phenomena can be characterized by a binary variable that describes two opposing outcomes....
Joint generalized nonlinear mixed models for longitudinal data
Author(s):
Haque
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2020
Type:
Thesis / Dissertation
Joint modeling of multiple longitudinal responses enables us to account for the association between them and is thus more...
Machine learning implementations in baseball: an algorithmic prediction of the next pitch
Author(s):
Morehouse
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2020
Type:
Thesis / Dissertation
Machine Learning (ML) has recently begun gaining traction in the statistical analysis of baseball. Major League Baseball (MLB...
A joint mixed model for clustered binary and continuous outcomes
Author(s):
Xia
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2020
Type:
Thesis / Dissertation
Recently, statisticians are very interested in developing new methods for the data with different responses types. The...
Two level random coefficient longitudinal modelling of COVID19 spreads in Italy
Author(s):
Hao
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2020
Type:
Thesis / Dissertation
The current statistical modeling of coronavirus (COVID19) spread has mainly focused on spreading patterns and forecasting of...
Spatial Tweedie mixed models
Author(s):
Pellegrini
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2020
Type:
Thesis / Dissertation
We propose a new class of Tweedie mixed models applied to hierarchical spatial data that can model discrete, continuous and...
Outer approximations of core points for integer programming
Author(s):
Shahverdizadeh Shargh
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2021
Type:
Thesis / Dissertation
The main objective of this thesis is to develop some new algorithms for solving some hard symmetric integer linear programs ...
An algebraic approach to group equivariant neural networks
Author(s):
Hennick
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2021
Type:
Thesis / Dissertation
In recent years, two distinct paradigms have been emerging in machine learning. The first is the “data driven” paradigm which...
Equivariant KKtheory and its application in index theory
Author(s):
Abdolmaleki
Discipline:
Mathematics & Statistics
Discipline:
Mathematics & Statistics
Date:
2022
Type:
Thesis / Dissertation
In this thesis, using the calculation of a couple of Kasparov products of asymptotically equivariant cycles, we find the...
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