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 102 for “"nonlinear models"”.
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Three Essays on Forecasting in Nonlinear Models
Nonlinear models have many applications in the economic and financial fields. The following works focus on their use for forecasting. Neural networks, in conjunction with an Affine Term Structure Model, are used to discover possible yield curve arbitrage opportunities. A G/ARCH model is employed to …
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Multifunction Radio Frequency System Design Using Nonlinear Models
… in the system were characterized using nonlinear models so that their harmonic behaviour could be accounted for. Wideband systems are particularly susceptible to harmonic interference since it is possible for harmonics to enter the large frequency window provided by the system, hence the …
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Reduction of Dynamic Nonlinear Models of Magnetic Devices
… results in easy-to-simulate, physics-based models. The mathematical framework for FEM-MOR is set up in the context of the analysis of the magnetic devices. This work provides a foundation for modeling more complicated magnetic devices, such as multiphase coupled inductors, actuators, and …
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Robust Analysis of M-Estimators of Nonlinear Models
Estimation of nonlinear models finds applications in every field of engineering and the sciences. Much work has been done to build solid statistical theories for its use and interpretation. However, there has been little analysis of the tolerance of nonlinear model estimators to deviations from …
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Nonlinear models with measurement error: Application to vitamin D
… measurements of vitamin D intake, we propose a nonlinear measurement error model to describe the dependency of 25(OH)D serum levels on vitamin D intake which accounts for the nuisance day-to-day variance when estimating long-term average intake.</p> <p>Initially, we assume that the unobservable …
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Uncertainty Analysis of Biological Nonlinear Models Based on Bayesian Estimation
… procedure based on realistic distribution for nonlinear models, especially biological models. Parameter estimation, random number generation, and uncertainty analysis are closely related in Monte Carlo simulation based model assessment. All three aspects are discussed in this study. Because of …
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Nonlinear Models and Geometric Structure of Fluid Forcing on Moving Bodies
This dissertation presents useful nonlinear models for fluid forcing on a moving body in two distinct contexts, and methods for analyzing the geometric structure within those and other mathematical models. This manuscript style dissertation presents three works within the theme of understanding …
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Probabilistic uncertainty quantification and experiment design for nonlinear models: Applications in systems biology
… domains with different behaviors. Finally, models from systems biology are usually strongly nonlinear with large numbers of parameters and complex interactions. This results in high computational costs of model simulations that are required to study the systems, an issue that becomes more …
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Modeling the Seismic Response of Short Bridge Overcrossings
… column displacement demands in earthquakes. Nonlinear models for Illinois Type I, II and III elastomeric bearings are developed. The effectiveness of the bearings for reducing column displacement demands is addressed by analytical studies. These studies consider the effects of cold …
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When more is not better: understanding the potential nonlinear relationship between intelligence and rating accuracy
… prior research has largely been based on linear models. However, researchers have yet to investigate whether these variables could be nonlinearly related. By studying nonlinear models in judgment and accuracy, we can not only deepen our understanding of the ‘good judge' in HRM, but we may further …
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Design synthesis of car-trailer systems with active trailer differential braking strategies.
… control strategies based on linear vehicle models have been proposed and developed for improving the lateral stability of car trailer (CT) systems. Is a linear-model-based controller applicable to active safety systems for CT systems under emergency operating conditions, such as an evasive …
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Analysis of the cross-section of equity returns on the JSE Securities Exchange based on linear and nonlinear modeling techniques
… 1997 to 31 December 2007. Both linear and nonlinear expected returns forecasting models are constructed based on the cross-section of equity returns. A blended approach combining a linear modeling technique with a nonlinear artificial neural network technique is developed to identify future …
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Modeling and Forecasting Ghana's Inflation Rate Under Threshold Models
… modeling inflation rate in Ghana using linear models such as Autoregressive Integrated Moving Average (ARIMA), Autoregressive Moving Average (ARMA) and Moving Average (MA). Empirical research however, has shown that financial data, such as inflation rate, does not follow linear patterns. This …
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Analysis of Growth Curves Under Some Special Covariance Structures
… draw backs of fitting the linear growth curve models to biological data and suggest fitting nonlinear models to growth data. After reviewing the popular nonlinear models, we show the analysis of nonlinear models with different covariance structures using SAS software.</p>
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A Real time simulator for power electric networks
… model 560 machine, is presented. Simplified models, based on those used in the EMIT, are included for the network elements: lumped resistors, capacitors, inductors and constant distributed parameter transmission lines. Fast nonlinear models are used for current and potential transformers. New …
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Floquet theory of electronic stopping processes of projectiles in solids
… approximations. Moreover, it goes beyond nonlinear models for the homogeneous electron gas, which assume ideal metal hosts. The theory exploits a discrete symmetry in the trajectory of the projectile following a direction of crystalline periodicity, which allows a treatment based on …
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Identifying and predicting turning points in Australian inbound tourism demand growth
… the limitations of the current linear models in use, and the lack of adequate research in turning point prediction in tourism, the objective of this study is to forecast turning points in tourism demand accurately by applying nonlinear models such as Logit, Probit and Markov Switching …
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Information Geometry For Nonlinear Least-Squares Data Fitting And Calculation Of The Superconducting Superheating Field
… fitting, particularly for so-called "sloppy" models. Second we describe a calculation of the superconducting superheating field, relevant for advancing gradients in particle accelerator resonance cavities. Parameter estimation by nonlinear least squares minimization is a ubiquitous problem …
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Parametric and nonparametric approaches to explain and predict nonlinear population dynamics in changing environments
… population dynamics are studied using parametric models under equilibrium assumptions. In this context, firstly we have shown that, while the approach was originally introduced to investigate the structural stability of the classic Lotka-Volterra dynamics; it can be applied to a much larger class …
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DESIGNS FOR TESTING LACK OF FIT FOR A CLASS OF SIGMOID CURVE MODELS
… extensive results on optimal designs for linear models, research on the design for nonlinear, including sigmoid curve, models has not kept pace. Furthermore, most of the work in the optimal design literature for nonlinear models concerns the characterization of minimally supported designs. These …
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