Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"Model stability"”.
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Beyond the Current State – Applying Latent State-Trait Theory to Model Stability and Change in Experience Sampling Data
This thesis aims to make latent state-trait (LST) models for experience sampling data available to a broader research population, and demonstrate their potential for theory building in psychological sciences and beyond. The developments outlined in this thesis should thus facilitate LST analyses of …
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Automated Machine Learning for Predicting Trends in Time Series Data
… of time series data. It also did not deal with model update and model stability, which are important for real-world applications. Furthermore, in the TreNet paper and previous trend prediction research, the Algorithm Selection and Hyperparameter Optimisation (ASHO) is performed manually. …
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Examining the relationship between foreign investment flows and foreign exchange reserves in Namibia
… meaning that residuals are homoscedastic. The model was also checked for model stability to determine if there are any structural breaks present in the model. This was done by employing the CUSUM test and the solid line did not exceed the best lines which indicate that the model is a good-fit. …
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A novel heat pump cycle to enable the flexible storage and deployment of harvested waste heat in cold climates
… a residential space using this concept. A system model was constructed for the proposed system as well for two baseline cases. The model demonstrates that when waste heat is directly deployed to the injection line when the heat pump is active, the COP can be increased to 5.0 from the baseline of …
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Piecewise Linear Control Systems
… constraints. It is shown how uncertainty models for linear systems can be extended to piecewise linear systems, and how these extensions give insight into the classical trade-offs between fidelity and complexity of a model. Stability of piecewise linear systems is investigated using …
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Biomechanical model of the shoulder joint
A biomechanical model of the glenohumeral joint has been developed to investigate muscle and joint loading during real life three-dimensional activities. Based on a rigid body mechanics approach, the model incorporates algorithms to correct for curved muscle paths and bone geometry, providing …
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Systems Pharmacology – Machine Learning Approaches in Profiling Oncology Drug Candidates
… In this study, we built in-silico predictive models to predict prospective drug candidates from compound libraries. Robust predictive models help in saving enormous experimental, and resource overheads and compress product cycle times. We used several machine learning algorithms, in building …
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THERMODYNAMIC AND TRANSPORT PROPERTIES OF AVIATION TURBINE FUEL: PREDICTIVE APPROACHES USING ENTROPY SCALING GUIDED MACHINE LEARNING WITH EXPERIMENTAL VALIDATION
… and temperature by developing numerical models which were validated against test data. Data collected for this work included 96 samples with measured composition and viscosity at a single temperature (54 F-24, 26 JP-8, 11 Jet A, 5 Jet A-1), and four samples (3 JP-5 and 1 F-24) which …
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Artificial neural networks to predict share prices on the Johannesburg stock exchange
The use of historical data to build models for stock market prediction has been extensively researched. Artificial Neural Networks (ANNs) bring new opportunities for predicting stock markets, and is now one of the leading techniques used for time series and specifically stock market prediction. …
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Critical study of AIC model selection techniques
Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2012-01-03T19:52:20Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Tan_MingYangJeremy.pdf: 761560 bytes, checksum: 1ec1ec8cdd591f86a9ba94337abe5c0a (MD5)
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Combustion Instability Mechanism of a Reacting Jet in Cross Flow at Gas Turbine Operating Conditions
… on identifying a mechanism of combustion instability of a reacting jet in cross flow, a flow feature that is widely used in the design of gas turbine combustion systems. Experimental results from a related study are used to validate and complement three numerical tools that are applied in …
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Improved integration of information to reduce subsurface model bias
Subsurface modeling deals with data-related issues like cognitive and sampling biases, and model-related challenges including statistical assumptions, misspecification, and algorithmic biases. These challenges introduce four critical implications during subsurface modeling. Firstly, subsurface …
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Learning Statistical and Geometric Models from Microarray Gene Expression Data
… we propose and develop innovative data modeling and analysis methods for extracting meaningful and specific information about disease mechanisms from microarray gene expression data. To provide a high-level overview of gene expression data for easy and insightful understanding of data …
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Reduced-order aerodynamic models for aeroelastic control of turbomachines
… in the design of gas turbine engines, both for stability and forced response. Current aeroelastic models cannot provide high-fidelity aerodynamics in a form suitable for design or control applications. In this thesis low-order, high-fidelity aerodynamic models are developed using systematic …
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Essays on Model Selection Uncertainty and Model Averaging: Computational and Empirical Work with Beta Regression, Multiple Linear Regression with ARMA Innovations, and the Minimum Description Length Principle
Uncertainty in model selection is under-explored and frequently resolved non-rigorously through beliefs about generalizability, practical usefulness, and computational ease. This is problematic as model selection routinely admits multiple models which imposes extra uncertainty on all post-selection …
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Model testing and computational analysis of a high speed planing hull with cambered planing surface and surface piercing hydrofoils
… planing hull form that was based on the Model Variant 5631 developed at the US Navy's David Taylor Model Basin [7] [3] [5]. This model was a variant of the parent hull 5628. The 5631 variant was a model of the 47 foot Motor Lifeboat of the US Coast Guard, which was a hard chine, deep-vee …
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Disaggregate behavioural land use modelling: Integration of housing search, job search and households' dynamics
… infrastructure for the future, is reliant on modelling tools to appropriately assess current conditions whilst providing an accurate estimation for future. In the context of housing infrastructure management, modelling approaches used in practice estimate housing demand at aggregate levels, …
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Advancing tuberculosis treatment through pharmacometric modeling of drug exposure and biomarkers
… In this thesis, I utilized pharmacometric modelling and data from drug-susceptible pulmonary tuberculosis patients as well as in vitro data to characterise the pharmacokinetics (PK) and pharmacodynamics (PD) of first-line anti-tuberculosis drugs and tuberculosis biomarkers. A key focus in …
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Two fluid numerical model for coastal applications
… mixture. The recent advancement of numerical models has given valuable insights in the knowledge of wave transformation and interaction with coastal structures. Among these models, some solve the RANS equations coupled with a free-surface tracking algorithm and describe velocity, pressure, …
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A Test of Abelson and Baysinger's (1984) Optimal Turnover Hypothesis in the Context of Public Organizations using Computational Simulation
… to demonstrate whether a logic- and theory-based model and computational simulation of the employee turnover-organizational performance relationship can actually produce Abelson and Baysinger's optimal turnover curve (the inverted U-shape) when studied in the context of a public organization. The …
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