Search for dissertations about: "markov model for distribution"
Showing result 1 - 5 of 77 swedish dissertations containing the words markov model for distribution.
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1. Some Markov Processes in Finance and Kinetics : Markov Processes
Abstract : This thesis consists of four papers. The first two papers treat extremes for L\'evy processes, while papers three and four treat the Kac model with unbounded collision kernel. READ MORE
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2. Rainflow Analysis of Switching Markov Loads
Abstract : Rainflow cycles are often used in fatigue analysis of materials for describing the variability of applied loads. Therefore, an important characteristic of a random load process is the intensity of rainflow cycles, also called the expected rainflow matrix (RFM), which can be used for evaluation of the fatigue life. READ MORE
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3. Methodological Studies on Models and Methods for Mixed-Effects Categorical Data Analysis
Abstract : Effects of drugs are in clinical trials often measured on categorical scales. These measurements are increasingly being analyzed using mixed-effects logistic regression. However, the experience with such analyzes is limited and only a few models are used. READ MORE
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4. Stochastic model updating and model selection with application to structural dynamics
Abstract : Uncertainty induced by our incomplete state of knowledge about engineering systems and their surrounding environment give rise to challenging problems in the process of building predictive models for the system behavior. One such challenge is the model selection problem, which arises due to the existence of invariably multiple candidate models with different mathematical forms to represent the system behavior, and so there is a need to assess their plausibility based on experimental data. READ MORE
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5. Scalable Bayesian spatial analysis with Gaussian Markov random fields
Abstract : Accurate statistical analysis of spatial data is important in many applications. Failing to properly account for spatial autocorrelation may often lead to false conclusions. READ MORE