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Articles 1321 - 1332 of 1332
Full-Text Articles in Mathematics
Cox-Type Model Validation With Recurrent Event Data, Muna Mohamed Hammuda
Cox-Type Model Validation With Recurrent Event Data, Muna Mohamed Hammuda
Doctoral Dissertations
"Recurrent event data occurs in many disciplines such as actuarial science, biomedical studies, sociology, and environment to name a few. It is therefore important to develop models that describe the dynamic evolution of the event occurrences. One major problem of interest to researchers with these types of data is models for the distribution function of the time between events occurrences, especially in the presence of covariates that play a major role in having a better understanding of time to events.
This work pertains to statistical inference of the regression parameter and the baseline hazard function in a Cox-type model for …
On Modeling Quantities For Insurer Solvency Against Catastrophe Under Some Markovian Assumptions, Daniel Jefferson Geiger
On Modeling Quantities For Insurer Solvency Against Catastrophe Under Some Markovian Assumptions, Daniel Jefferson Geiger
Doctoral Dissertations
"Insurance companies sometimes face catastrophic losses, yet they must remain solvent enough to meet the legal obligation of covering all claims. Catastrophes can result in large damages to the policyholders, causing the arrival of numerous claims to insurance companies at once. Furthermore, the severity of an event could impact the time until the next occurrence. An insurer needs certain levels of startup capital to meet all claims, and then must have adequate reserves on a continual basis, even more so when catastrophes occur. This work examines two facets of these matters: for an infinite time horizon, we extend and develop …
Column Generation With Heuristic For Two-Dimensional Guillotine Cutting Stock Problem With Usable Leftover, Supphakorn Sumetthapiwat
Column Generation With Heuristic For Two-Dimensional Guillotine Cutting Stock Problem With Usable Leftover, Supphakorn Sumetthapiwat
Chulalongkorn University Theses and Dissertations (Chula ETD)
The two-dimensional cutting stock problem with usable leftover (2DCSPUL) aims to minimize the waste from cutting in two aspects. The first aspect focuses on the suitable cutting patterns that provide the minimum waste while satisfying a requirement. The second aspect is to utilize the waste in the cutting process by turning the waste with sufficient size into a raw material or an item for the next cutting period. In this dissertation, the common two-stage guillotine cutting pattern which is found in many large industries is considered in this problem. Two definitions of fixed size usable leftover are introduced. A column …
Special Values Of Ibukiyama-Saito L-Functions, Brad Isaacson
Special Values Of Ibukiyama-Saito L-Functions, Brad Isaacson
Publications and Research
Following the method of Arakawa, we express the special values of an L-function originally introduced by Arakawa and Hashimoto and later generalized by Ibukiyama and Saito at non-positive integers by finite sums of products of Bernoulli polynomials. As a corollary, we prove an infinite family of identities expressing finite sums of products of Bernoulli polynomials by generalized Bernoulli numbers.
Exchanging Deficit For Affordance: Developing Preservice Teachers’ Capacity To See Emergent Bilingual Students’ Resources, Aaron T. Wilson, Hyung Won Kim, M. Alejandra Sorto
Exchanging Deficit For Affordance: Developing Preservice Teachers’ Capacity To See Emergent Bilingual Students’ Resources, Aaron T. Wilson, Hyung Won Kim, M. Alejandra Sorto
School of Mathematical & Statistical Sciences Faculty Publications
We present a Scholarship of Teaching and Learning (SoTL) research project aimed at helping pre-service teachers to grasp the importance of their emergent bilingual students' bilingualism and cultural backgrounds as resources to serve them in apprehending mathematics instruction and explaining their mathematics to others.
Linear Stability Analysis With Solution Patterns Due To Varying Thermal Diffusivity For A Convective Flow In A Porous Medium, Dambaru Bhatta
Linear Stability Analysis With Solution Patterns Due To Varying Thermal Diffusivity For A Convective Flow In A Porous Medium, Dambaru Bhatta
School of Mathematical & Statistical Sciences Faculty Publications
Here we investigate the effect of the vertical rate of change in thermal diffusivity due to a hydrothermal convective flow in a horizontal porous medium. The continuity equation, the heat equation and the momentum-Darcy equation constitute the governing system for the flow in a porous medium. Assuming a vertically varying basic state, we derive the linear system and from this linear system, we compute the critical Rayleigh and wave numbers. Using fourth-order Runge-Kutta and shooting methods, we obtain the marginal stability curves and linear solutions to analyze the solution pattern for different diffusivity parameters.
Mathematical Modeling Of Tumor Growth For Free-Boundary Problem By Enhanced Finite Volume Method, Mashriq Ahmed Saleh
Mathematical Modeling Of Tumor Growth For Free-Boundary Problem By Enhanced Finite Volume Method, Mashriq Ahmed Saleh
Open Access Theses & Dissertations
Modeling tumor growth due to infiltration of immune cells presents several challenges in numerical computations. First, it involves multiple cell species whose total number should be a constant, due to the incompressibility assumption; second, by mapping the Eulerian coordinate of the free-boundary problem onto a fixed logical domain, geometric source terms appear and they need to be addressed properly in numerical methods. In this work, we use a simplified model that contains two species and prescribed infiltration velocity and to show that the conventional finite volume methods fail to preserve the trivial (constant) solutions. To this end, we introduce the …
Validation Of A Lottery, Xiaona Zhou
Validation Of A Lottery, Xiaona Zhou
Publications and Research
The NY Pick 4 lottery consists of four "randomly" chosen digits from 0 to 9. For this to be fair, each digit should be equally likely to occur. To determine whether this is the case, a Chi-squared goodness of fit test will be applied to historical data. This provides a quantitative way of measuring how well the observed frequency of digits matches our expectations of a fair lottery. The Chi-squared distribution gives us a number beyond which we reject fairness. However, there is another possibility. If the difference between the fair model and the observed frequency is too small, that …
On Numerical Stochastic Optimal Control Via Bellman's Dynamic Programming Principle, Prince Osei Aboagye
On Numerical Stochastic Optimal Control Via Bellman's Dynamic Programming Principle, Prince Osei Aboagye
Open Access Theses & Dissertations
In this work, we present an application of Stochastic Control Theory to the Merton's portfolio optimization problem. Then, the dynamic programming methodology is applied to reduce the whole problem to solving the well-known HJB (Hamilton-Jacobi-Bellman) equation that arises from the Merton's portfolio optimization problem subject to the power utility function. Finally, a numerical method is proposed to solve the HJB equation and the optimal strategy. The numerical solutions are compared with the explicit solutions for optimal consumption and investment control policies.
Integrated Statistical And Machine Learning Algorithms For Predicting And Classifying G Protein-Coupled Receptors, Fredrick Ayivor
Integrated Statistical And Machine Learning Algorithms For Predicting And Classifying G Protein-Coupled Receptors, Fredrick Ayivor
Open Access Theses & Dissertations
G protein-coupled receptors (GPCRs) are transmembrane proteins with important functions in signal transduction and often serve as drug targets. With increasing availability of protein sequence information, there is much interest in computationally predicting GPCRs and classifying them according to their biological roles. Such predictions are cost-efficient and can be valuable guides for designing wet lab experiments to help elucidate signaling pathways and expedite drug discovery. There are existing computational tools of GPCR prediction that involve principal component analysis (PCA), intimate sorting (IS), support vector machine, and random forest (RF) techniques using various sequence derived features. While accuracies of over 90\% …
Nonlinear Coupled Effects In Nanomaterials, Sia Bhowmick
Nonlinear Coupled Effects In Nanomaterials, Sia Bhowmick
Theses and Dissertations (Comprehensive)
Materials at the nanoscale have different chemical, structural, and optoelectrical properties compared to their bulk counterparts. As a result, such materials, called nanomaterials, exhibit observable differences in certain physical phenomena. One such resulting phenomenon called the piezoelectric effect has played a crucial role in miniature self-powering electronic devices called nanogenerators which are fabricated by using nanostructures, such as nanowires, nanorods, and nanofilms. These devices are capable of harvesting electrical energy by inducing mechanical strain on the individual nanostructures. Electrical energy created in this manner does not have environmental limitations. In this thesis, important coupled effects, such as the nonlinear piezoelectric …
Abelian Subalgebras Of Maximal Dimension In Euclidean Lie Algebras, Mark Curro
Abelian Subalgebras Of Maximal Dimension In Euclidean Lie Algebras, Mark Curro
Theses and Dissertations (Comprehensive)
In this paper we define, discuss and prove the uniqueness of the abelian subalgebra of maximal dimension of the Euclidean Lie algebra. We also construct a family of maximal abelian subalgebras and prove that they are maximal.