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Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- <p>Artificial satellites -- Navigation<br />Artificial satellites -- Orbits -- Mathematical models<br />Artificial satellites -- Tracking<br />Astrodynamics</p> (1)
- <p>Enhanced oil recovery<br />Oil field flooding<br />Oil fields -- Production methods -- Research<br />Cluster analysis<br />Principal components analysis</p> (1)
- <p>Risk management -- Mathematical models<br />Insurance claims -- Mathematical models<br />Runoff.</p> (1)
- <p>Turbulence -- Computer simulation<br />Turbulence -- Mathematical models<br />Fluid dynamics -- Approximation methods<br />Turbulent boundary layer -- Mathematical models<br />Uncertainty -- Mathematical models</p> (1)
- Actuarial (1)
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- Claim (1)
- Day-of-the-week-effect (1)
- EOR prediction (1)
- Estimator (1)
- GARCH (1)
- Heteroscedasticity (1)
- Hierarchical clustering algorithm (1)
- Insurance (1)
- Principal Component Analysis (1)
- Printed Circuit Board (1)
- Proximity operations (1)
- S&P 500-index (1)
- Screening Criteria (1)
- Steam Flooding (1)
- Stock price forecasting -- Mathematical models<br />GARCH model<br />Time series analysis (1)
Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Steam Flooding Screening And Eor Prediction By Using Clustering Algorithm And Data Visualization, Na Zhang
Steam Flooding Screening And Eor Prediction By Using Clustering Algorithm And Data Visualization, Na Zhang
Masters Theses
"Enhanced Oil Recovery (EOR) techniques are vitally important in the oil industry because these techniques could not only extend the life of wells, but also produce 10% to 30% additional oil from the reservoir. However, selecting the most suitable EOR techniques for unknown reservoirs is not easy for decision making. Based on literature, EOR screening criteria could help to find the best candidates for unknown projects, which is classified into two categories: conventional EOR screening and advanced EOR screening. In this research, an artificial intelligent (AI) method, hierarchical clustering algorithm, is adapted to analyze both steam flooding projects and worldwide …
Application Of Loglinear Models To Claims Triangle Runoff Data, Netanya Lee Martin
Application Of Loglinear Models To Claims Triangle Runoff Data, Netanya Lee Martin
Masters Theses
"In this thesis, we presented in detail different aspects of Verrall's chain ladder method and their advantages and disadvantages. Insurance companies must ensure there are enough reserves to cover future claims. To that end, it is useful to estimate mean expected losses. The chain ladder technique under a general linear model is the most widely used method for such estimation in property and casualty insurance. Verrall's chain ladder technique develops estimators for loss development ratios, mean expected ultimate claims, Bayesian premiums, and Bühlmann credibility premiums. The chain ladder technique can be used to estimate loss development in cases where data …
Day Of The Week Effect In Returns And Volatility Of The S&P 500 Sector Indices, Juan Liu
Day Of The Week Effect In Returns And Volatility Of The S&P 500 Sector Indices, Juan Liu
Masters Theses
"Previous studies have shown that returns associated with the stock market or foreign exchange's futures show variations across the day of the week. On such study, that employs a modified GARCH model for estimation, shows that returns associated with the S&P 500 stock index is highest on Wednesday and lowest returns on Monday. The same study shows that volatility is highest on Fridays and lowest on Wednesdays. In this study we investigate if this day-of-the-week effect on returns and volatility is present in the different sectors that constitute the S&P 500 index. The data set used provides daily returns from …
Space-Based Relative Multitarget Tracking, Keith Allen Legrand
Space-Based Relative Multitarget Tracking, Keith Allen Legrand
Masters Theses
"Access to space has expanded dramatically over the past decade. The growing popularity of small satellites, specifically cubesats, and the following launch initiatives have resulted in exponentially growing launch numbers into low Earth orbit. This growing congestion in space has punctuated the need for local space monitoring and autonomous satellite inspection. This work describes the development of a framework for monitoring local space and tracking multiple objects concurrently in a satellite's neighborhood. The development of this multitarget tracking systems has produced collateral developments in numerical methods, relative orbital mechanics, and initial relative orbit determination.
This work belongs to a class …
Uncertainty Quantification Of Turbulence Model Closure Coefficients For Transonic Wall-Bounded Flows, John Anthony Schaefer
Uncertainty Quantification Of Turbulence Model Closure Coefficients For Transonic Wall-Bounded Flows, John Anthony Schaefer
Masters Theses
"The goal of this work was to quantify the uncertainty and sensitivity of commonly used turbulence models in Reynolds-Averaged Navier-Stokes codes due to uncertainty in the values of closure coefficients for transonic, wall-bounded flows and to rank the contribution of each coefficient to uncertainty in various output flow quantities of interest. Specifically, uncertainty quantification of turbulence model closure coefficients was performed for transonic flow over an axisymmetric bump at zero degrees angle of attack and the RAE 2822 transonic airfoil at a lift coefficient of 0.744. Three turbulence models were considered: the Spalart-Allmaras Model, Wilcox (2006) k-ω Model, and the …