Search for dissertations about: "asymptotic trajectories"
Showing result 1 - 5 of 7 swedish dissertations containing the words asymptotic trajectories.
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1. Studying earnings trajectories as functional outcomes
Abstract : In this thesis, we present methods for studying patterns of income accumulation over time using functional data analysis. This is made possible by the availability of large-scale longitudinal register data in Sweden. READ MORE
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2. Analysis of the phase space, asymptotic behavior and stability for heavy symmetric top and tippe top
Abstract : In this thesis we analyze the phase of the heavy symmetric top and the tippe top. These tops are two examples of physical systems for which the usefulness of integrals of motion and invariant manifolds, in phase space picture analysis, can be illustratedIn the case of the heavy symmetric top, simplified proofs of stability of the vertical rotation have been perpetuated by successive textbooks during the last century. READ MORE
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3. Inertial collisions in random flows
Abstract : In nature, suspensions of small particles in fluids are common. An important example are rain droplets suspended in turbulent clouds. Such clouds can start to rain very quickly and the reason for this is still not fully explained, but it is believed that the turbulent motion in the cloud plays an important role. READ MORE
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4. Random Geometry and Reinforced Jump Processes
Abstract : This thesis comprises three papers studying several mathematical models related to geometric Markov processes and random processes with reinforcements. The main goal of these works is to investigate the dynamics as well as the limiting behaviour of the models as time goes to infinity, the existence of invariant measures and limiting distributions, the speed of convergence and other interesting relevant properties. READ MORE
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5. Latent variable models for longitudinal twin data
Abstract : Longitudinal twin data provide important information for exploring sources of variation in human traits. In statistical models for twin data, unobserved genetic and environmental factors influencing the trait are represented by latent variables. In this way, trait variation can be decomposed into genetic and environmental components. READ MORE