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.
Results
Showing 1 to 6 of 6 for “"Non-Stationary Processes"”.
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Modeling and Simulation of Random Processes and Fields in Civil Engineering and Engineering Mechanics
… is then determined by solving numerically a nonlinear equation which determines the distance from any point to the spline curve. Parametric convergence studies are carried out to show the accuracy of this approach, compared to pointwise and linear segmentation of points, for the construction …
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State space modelling of extreme values with particle filters
… model that can be used to smoothly capture non-stationarity. Observations are assumed independent given a latent state process so that their distribution can change gradually over time. Sequential Monte Carlo methods known as particle filters provide an approach to inference for such models …
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Perturbation-based Control of Industrial Fed-batch Bioprocesses
… of industrial-scale microbial fed-batch bioprocesses. Its focus is therefore on methods which are easy to implement in an industrial setting, which gives certain limitations on sensors, actuators and control systems. The main part of the work in the thesis concerns control of the microbial …
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Non-stationary time-dependent ARMA random vibration modeling, analysis & SHM with wind turbine applications
… dissertation are wind turbines, for which the non-stationary vibration response stems from the time-dependent structural dynamics, as well as the randomness and variability of the wind excitation and other operational and environmental variables. The development of effective methods for the …
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Statistical models for extreme weather events
… is often preferred for modelling extremes of non-stationary processes as the parameters are invariant to the choice of threshold; our approach may increase the possibility of this model being used more widely. Second, we propose an adjustment to the likelihood when implementing a spatial …
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Memory Properties Of Transformations Of Linear Processes And Symmetric Gini Correlation
A large class of time series processes can be modeled by linear processes, including a subset of the fractional ARIMA process. Transformation of linear processes is one of the most popular topics in univariate time-series analysis in recent years. In this dissertation, we study the memory …