Browsing Mathematics (Faculty of) by Title
Now showing items 2623-2642 of 2998
-
Statistical Methods for Event History Data under Response Dependent Sampling and Incomplete Observation
(University of Waterloo, 2020-07-17)This thesis discusses statistical problems in event history data analysis including survival analysis and multistate models. Research questions in this thesis are motivated by the Nun Study, which contains longevity data ... -
Statistical Methods for High Throughput Screening Drug Discovery Data
(University of Waterloo, 2005)High Throughput Screening (HTS) is used in drug discovery to screen large numbers of compounds against a biological target. Data on activity against the target are collected for a representative sample of compounds ... -
Statistical Methods for Incomplete Covariates and Two-Phase Designs
(University of Waterloo, 2013-01-24)Incomplete data is a pervasive problem in health research, and as a result statistical methods enabling inference based on partial information play a critical role. This thesis explores estimation of regression coefficients ... -
Statistical methods for incomplete data: Some results on model misspecification
(Sage Publishing, 2017-02-01)Inverse probability weighted estimating equations and multiple imputation are two of the most studied frameworks for dealing with incomplete data in clinical and epidemiological research. We examine the limiting behaviour ... -
Statistical Methods for Large-scale Multiple Testing Problems
(University of Waterloo, 2019-04-26)A large-scale multiple testing problem simultaneously tests thousands or even millions of null hypotheses, and it is widely used in different fields, for example genetics and astronomy. An error rate serves as a measure ... -
Statistical Methods for Life History Analysis Involving Latent Processes
(University of Waterloo, 2014-05-22)Incomplete data often arise in the study of life history processes. Examples include missing responses, missing covariates, and unobservable latent processes in addition to right censoring. This thesis is on the development ... -
Statistical Methods for Multi-State Analysis of Incomplete Longitudinal Data
(University of Waterloo, 2008-09-25)Analyses of longitudinal categorical data are typically based on semiparametric models in which covariate effects are expressed on marginal probabilities and estimation is carried out based on generalized estimating ... -
Statistical Methods in the Search for a Dominant Cause of Variation
(University of Waterloo, 2023-12-15)Excessive variation in critical-to-quality characteristics, referred to as process outputs in this thesis, is a common issue in manufacturing industries. Most variation reduction frameworks initially investigate the process ... -
Statistical Methods on Survival Data with Measurement Error
(University of Waterloo, 2014-08-25)In survival data analysis, covariates are often subject to measurement error. A naive analysis with measurement error ignored commonly leads to biased estimation of parameters of survival models. Measurement error also ... -
Statistical Models and Methods for Dependent Life History Processes
(University of Waterloo, 2018-11-28)This thesis deals with statistical issues in the analysis of complex life history processes which have characteristics of heterogeneity and dependence. We are motivated, in this thesis, by three specific types of ... -
Statistical Physics Of Vaccination
(Elsevier, 2016-12-09)Historically, infectious diseases caused considerable damage to human societies, and they continue to do so today. To help reduce their impact, mathematical models of disease transmission have been studied to help understand ... -
A Statistical Response to Challenges in Vast Portfolio Selection
(University of Waterloo, 2019-07-04)The thesis is written in response to emerging issues brought about by an increasing number of assets allocated in a portfolio and seeks answers to puzzling empirical findings in the portfolio management area. Over the ... -
The Steiner Ratio for the Obstacle-Avoiding Steiner Tree Problem
(University of Waterloo, 2008-09-26)This thesis examines the (geometric) Steiner tree problem: Given a set of points P in the plane, find a shortest tree interconnecting all points in P, with the possibility of adding points outside P, called the Steiner ... -
Stochastic decomposition for ℓp-norm symmetric survival functions on the positive orthant
(Elsevier, 2021-07)We derive a stochastic representation for the probability distribution on the positive orthant (0,∞)ᵈ whose association between components is minimal among all probability laws with ℓp-norm symmetric survival functions. ... -
Stochastic Effects and Fractal Kinetics in the Pharmacokinetics of Drug Transport
(University of Waterloo, 2018-05-16)Pharmacokinetics (PK) attempts to model the progression and time evolution of a drug in the human body from administration to the elimination stage. It is the primary quantitative approach used in drug discovery/development ... -
Stochastic Mechanisms for Truthfulness and Budget Balance in Computational Social Choice
(University of Waterloo, 2013-01-23)In this thesis, we examine stochastic techniques for overcoming game theoretic and computational issues in the collective decision making process of self-interested individuals. In particular, we examine truthful, stochastic ... -
Stochastic Minimum Norm Combinatorial Optimization
(University of Waterloo, 2022-07-28)Motivated by growing interest in optimization under uncertainty, we undertake a systematic study of designing approximation algorithms for a wide class of 1-stage stochastic-optimization problems with norm-based objective ... -
Stochastic Mortality Models with Applications in Financial Risk Management
(University of Waterloo, 2007-06-18)In product pricing and reserving, actuaries are often required to make predictions of future death rates. In the past, this has been performed by using deterministic improvement scales that give only a single mortality ... -
Stochastic Stepwise Ensembles for Variable Selection
(University of Waterloo, 2009-04-30)Ensembles methods such as AdaBoost, Bagging and Random Forest have attracted much attention in the statistical learning community in the last 15 years. Zhu and Chipman (2006) proposed the idea of using ensembles for variable ... -
Stochastic synchronization of semi-Markovian jump chaotic Lur’e systems with packet dropouts subject to multiple sampling periods
(Elsevier, 2019-09)This paper is concerned with the problem of stochastic synchronization for semi-Markovian jump chaotic Lur’e systems. Firstly, packet dropouts and multiple sampling periods are both considered. By input-delay approach and ...