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Articles 31 - 60 of 82
Full-Text Articles in Analysis
Study On Collision Between Fishing Vessels And Merchant Ships Within The China Coastal Waters, Zaicai Yi
Study On Collision Between Fishing Vessels And Merchant Ships Within The China Coastal Waters, Zaicai Yi
Maritime Safety & Environment Management Dissertations (Dalian)
No abstract provided.
Analytical Review Of Maritime Education And Training Model For Chinese Seafarers, Jiaojiao Yang
Analytical Review Of Maritime Education And Training Model For Chinese Seafarers, Jiaojiao Yang
Maritime Safety & Environment Management Dissertations (Dalian)
No abstract provided.
Research On Shanghai Port Logistics Collection And Distribution Network Optimization, Chaoyang Gong
Research On Shanghai Port Logistics Collection And Distribution Network Optimization, Chaoyang Gong
World Maritime University Dissertations
No abstract provided.
Research On Port Network Layout From The Perspective Of Sea Ports And Dry Ports Linked Development Under The Background Of “Obor”, Yameng Guo
World Maritime University Dissertations
No abstract provided.
Functions Of Strategic Liner Shipping Alliance Under The Market Downturn Environment, Zuwei He
Functions Of Strategic Liner Shipping Alliance Under The Market Downturn Environment, Zuwei He
World Maritime University Dissertations
No abstract provided.
The Optimization Research Of Southeast Asian Container Liner Routes Of Sitc Company, Sheng Sheng
The Optimization Research Of Southeast Asian Container Liner Routes Of Sitc Company, Sheng Sheng
World Maritime University Dissertations
No abstract provided.
Global Optimized Isothermal And Nonlinear Models Of Earth’S Standard Atmosphere, Nihad E. Daidzic, Ph.D.,
Global Optimized Isothermal And Nonlinear Models Of Earth’S Standard Atmosphere, Nihad E. Daidzic, Ph.D.,
International Journal of Aviation, Aeronautics, and Aerospace
Both, a global isothermal temperature model and a nonlinear quadratic temperature model of the ISA was developed and presented here. Constrained optimization techniques in conjunction with the least-square-root approximations were used to design best-fit isothermal models for ISA pressure and density changes up to 47 geopotential km for NLPAM, and 86 orthometric km for ISOAM respectively. The mass of the dry atmosphere and the relevant fractional-mass scale heights have been computed utilizing the very accurate eight-point Gauss-Legendre numerical quadrature for both ISOAM and NLPAM. Both, the ISOAM and the NLPAM represent viable alternatives to ISA in many practical applications and …
Local And Nonlocal Models In Thin-Plate And Bridge Dynamics, Jeremy Trageser
Local And Nonlocal Models In Thin-Plate And Bridge Dynamics, Jeremy Trageser
Department of Mathematics: Dissertations, Theses, and Student Research
This thesis explores several models in continuum mechanics from both local and nonlocal perspectives. The first portion settles a conjecture proposed by Filippo Gazzola and his collaborators on the finite-time blow-up for a class of fourth-order differential equations modeling suspension bridges. Under suitable assumptions on the nonlinearity and the initial data, a finite-time blowup is demonstrated as a result of rapid oscillations with geometrically growing amplitudes. The second section introduces a nonlocal peridynamic (integral) generalization of the biharmonic operator. Its action converges to that of the classical biharmonic as the radius of nonlocal interactions---the ``horizon"---tends to zero. For the corresponding …
Risk Measures On Orlicz Heart Spaces, Coenraad Labuschagne, Habib Ouerdiane, Imen Salhi
Risk Measures On Orlicz Heart Spaces, Coenraad Labuschagne, Habib Ouerdiane, Imen Salhi
Communications on Stochastic Analysis
No abstract provided.
Regular Transformation Groups Based On Fourier-Gauss Transforms, Maximilian Bock, Wolfgang Bock
Regular Transformation Groups Based On Fourier-Gauss Transforms, Maximilian Bock, Wolfgang Bock
Communications on Stochastic Analysis
No abstract provided.
Fractional Hida-Malliavan Derivatives And Series Representations Of Fractional Conditional Expectations, Sixian Jin, Qidi Peng, Henry Schellhorn
Fractional Hida-Malliavan Derivatives And Series Representations Of Fractional Conditional Expectations, Sixian Jin, Qidi Peng, Henry Schellhorn
Communications on Stochastic Analysis
No abstract provided.
On P-Confidence Intervals For G-Expectations, Leo Shen, Rodney C Wolff
On P-Confidence Intervals For G-Expectations, Leo Shen, Rodney C Wolff
Communications on Stochastic Analysis
No abstract provided.
Structure And Decompositions Of The Linear Span Of Generalized Stochastic Matrices, Andreas Boukas, Philip Feinsilver, Anargyros Fellouris
Structure And Decompositions Of The Linear Span Of Generalized Stochastic Matrices, Andreas Boukas, Philip Feinsilver, Anargyros Fellouris
Communications on Stochastic Analysis
No abstract provided.
On Approximation Rates For Boundary Crossing Probabilities For The Multivariate Brownian Motion Process, Shaun Mckinlay, Konstantin Borovkov
On Approximation Rates For Boundary Crossing Probabilities For The Multivariate Brownian Motion Process, Shaun Mckinlay, Konstantin Borovkov
Communications on Stochastic Analysis
No abstract provided.
On The Fundamental Theorem Of Asset Pricing, Abhay G Bhatt, Rajeeva L Karandikar
On The Fundamental Theorem Of Asset Pricing, Abhay G Bhatt, Rajeeva L Karandikar
Communications on Stochastic Analysis
No abstract provided.
Periodic Solutions Of Discrete Generalized Schrödinger Equations On Cayley Trees, Fumio Hiroshima, József Lörinczi, Utkir Rozikov
Periodic Solutions Of Discrete Generalized Schrödinger Equations On Cayley Trees, Fumio Hiroshima, József Lörinczi, Utkir Rozikov
Communications on Stochastic Analysis
No abstract provided.
Almost-Sure Explosive Solutions Of Some Nonlinear Parabolic Itô Equations, Pao-Liu Chow, Rafail Khasminskii
Almost-Sure Explosive Solutions Of Some Nonlinear Parabolic Itô Equations, Pao-Liu Chow, Rafail Khasminskii
Communications on Stochastic Analysis
No abstract provided.
Modeling The Diffusion Of Heat Energy Within Composites Of Homogeneous Materials Using The Uncertainty Principle, Elyse M. Garon
Modeling The Diffusion Of Heat Energy Within Composites Of Homogeneous Materials Using The Uncertainty Principle, Elyse M. Garon
Honors Theses
The purpose of this project is to model the diffusion of heat energy in one space dimension, such as within a rod, in the case where the heat flow is through a medium consisting of two or more homogeneous materials. The challenge of creating such a mathematical model is that the diffusivity will be represented using a piecewise constant function, because the diffusivity changes based on the material. The resulting model cannot be solved using analytical methods, and is impractical to solve using existing numerical methods, thus necessitating a novel approach.
The approach presented in this thesis is to represent …
Averaged Instrumental Variables Estimators, Yoonseok Lee, Yu Zhou
Averaged Instrumental Variables Estimators, Yoonseok Lee, Yu Zhou
Center for Policy Research
We develop averaged instrumental variables estimators as a way to deal with many weak instruments. We propose a weighted average of the preliminary k-class estimators, where each estimator is obtained using different subsets of the available instrumental variables. The averaged estimators are shown to be consistent and to satisfy asymptotic normality. Furthermore, its approximate mean squared error reveals that using a small number of instruments for each preliminary k-class estimator reduces the finite sample bias, while averaging prevents the variance from inflating. Monte Carlo simulations find that the averaged estimators compare favorably with alternative instrumental-variable-selection approaches when the strength levels …
Invariant Basis Number And Basis Types For C*-Algebras, Philip M. Gipson
Invariant Basis Number And Basis Types For C*-Algebras, Philip M. Gipson
Department of Mathematics: Dissertations, Theses, and Student Research
We develop the property of Invariant Basis Number (IBN) in the context of C*-algebras and their Hilbert modules. A complete K-theoretic characterization of C*- algebras with IBN is given. A scheme for classifying C*-algebras which do not have IBN is given and we prove that all such classes are realized. We investigate the invariance of IBN, or lack thereof, under common C*-algebraic construction and perturbation techniques. Finally, applications of Invariant Basis Number to the study of C*-dynamical systems and the classification program are investigated.
Adviser: David Pitts
Time Integration Methods Of Fundamental Solutions And Approximate Fundamental Solutions For Nonlinear Elliptic Partial Differential Equations, Corey Leon Jones
Time Integration Methods Of Fundamental Solutions And Approximate Fundamental Solutions For Nonlinear Elliptic Partial Differential Equations, Corey Leon Jones
Dissertations
A time-dependent method is coupled with the Method of Approximate Particular Solutions (MAPS) of Delta-shaped basis functions, the Method of Fundamental Solutions (MFS), and the Method of Approximate Fundamental Solutions (MAFS) to solve a second order nonlinear elliptic partial differential equation (PDE) on regular and irregular shaped domains. The nonlinear PDE boundary value problem is first transformed into a time-dependent quasilinear problem by introducing a fictitious time. Forward Euler integration is then used to ultimately convert the problem into a sequence of time-dependent linear nonhomogeneous modified Helmholtz boundary value problems on which the superposition principle is applied to split the …
Revised Model For Antibiotic Resistance In A Hospital, Ruhang Pei
Revised Model For Antibiotic Resistance In A Hospital, Ruhang Pei
Electronic Theses and Dissertations
In this thesis we modify an existing model for the spread of resistant bacteria in a hospital. The existing model does not account for some of the trends seen in the data found in literature. The new model takes some of these trends into account. For the new model, we examine issues relating to identifiability, sensitivity analysis, parameter estimation, uncertainty analysis, and equilibrium stability.
Multivariate Statistical Methodologies Applied In Biomedical Raman Spectroscopy: Assessing The Validity Of Partial Least Squares Regression Using Simulated Model Datasets., Mark Keating
Articles
Raman spectroscopy is fast becoming a valuable analytical tool in a number of biomedical scenarios, most notably disease diagnostics. Importantly, the technique has also shown increasing promise in the assessment of drug interactions on a cellular and subcellular level, particularly when coupled with multivariate statistical analysis. However, an important consideration, both with Raman spectroscopy and the associated statistical methodologies, is the accuracy of these techniques and more specifically the sensitivities which can be achieved and ultimately the limits of detection of the various methods. The purpose of this study is thus the construction of a model simulated data set with …
Mathematical Modeling Of Trending Topics On Twitter, Jonathan S. Skaza
Mathematical Modeling Of Trending Topics On Twitter, Jonathan S. Skaza
Honors Projects in Mathematics
Created in 2006, Twitter is an online social networking service in which users share and read 140-character messages called Tweets. The site has approximately 288 million monthly active users who produce about 500 million Tweets per day. This study applies dynamical and statistical modeling strategies to quantify the spread of information on Twitter. Parameter estimates for the rates of infection and recovery are obtained using Bayesian Markov Chain Monte Carlo (MCMC) methods. The methodological strategy employed is an extension of techniques traditionally used in an epidemiological and biomedical context (particularly in the spread of infectious disease). This study, which addresses …
Estimating The Extreme Low-Temperature Event Using Nonparametric Methods, Anisha D'Silva
Estimating The Extreme Low-Temperature Event Using Nonparametric Methods, Anisha D'Silva
Master's Theses (2009 -)
This thesis presents a new method of estimating the one-in-N low temperature threshold using a non-parametric statistical method called kernel density estimation applied to daily average wind-adjusted temperatures. We apply our One-in-N Algorithm to local gas distribution companies (LDCs), as they have to forecast the daily natural gas needs of their consumers. In winter, demand for natural gas is high. Extreme low temperature events are not directly related to an LDCs gas demand forecasting, but knowledge of extreme low temperatures is important to ensure that an LDC has enough capacity to meet customer demands when extreme low temperatures are experienced. …
Development Of Analytical Sensitivity Analysis For Ahp Applications, Marie L. Ivanco
Development Of Analytical Sensitivity Analysis For Ahp Applications, Marie L. Ivanco
Mechanical & Aerospace Engineering Theses & Dissertations
Decision makers often face complex problems, which can seldom be addressed without the use of structured analytical models. Mathematical models have been developed over the last 50 years to streamline and facilitate decision making activities. The Analytic Hierarchy Process constitutes one of the most utilized Multi-Criteria Decision Analysis Methods. While AHP has been thoroughly researched and applied, the method still shows limitations in terms of integrating profile disparities of Subject Matter Experts (SMEs). This thesis develops an analytical sensitivity analysis method for AHP based on local partial derivatives to address these limitations. Four examples are presented to demonstrate and validate …
Analysing Systemic Risk Contribution Using A Closed Formula For Conditional Value At Risk Through Copula, Brice Hakwa, Manfred Jäger-Ambrożewicz, Barbara Rüdiger
Analysing Systemic Risk Contribution Using A Closed Formula For Conditional Value At Risk Through Copula, Brice Hakwa, Manfred Jäger-Ambrożewicz, Barbara Rüdiger
Communications on Stochastic Analysis
No abstract provided.
Mathematical Formulation Of An Optimal Execution Problem With Uncertain Market Impact, Kensuke Ishitani, Takashi Kato
Mathematical Formulation Of An Optimal Execution Problem With Uncertain Market Impact, Kensuke Ishitani, Takashi Kato
Communications on Stochastic Analysis
No abstract provided.
On A Nonsymmetric Ornstein-Uhlenbeck Semigroup And Its Generator, Yong Chen
On A Nonsymmetric Ornstein-Uhlenbeck Semigroup And Its Generator, Yong Chen
Communications on Stochastic Analysis
No abstract provided.
Existence Of Lévy's Area And Pathwise Integration, Peter Imkeller, David J Prömel
Existence Of Lévy's Area And Pathwise Integration, Peter Imkeller, David J Prömel
Communications on Stochastic Analysis
No abstract provided.