Search for dissertations about: "Multivariate Regression Models"
Showing result 1 - 5 of 94 swedish dissertations containing the words Multivariate Regression Models.
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1. Univariate and Multivariate Surveillance of Outbreaks
Abstract : In many areas there is a need to monitor observations in order to detect changes in the underlying processes as quickly as possible. The theory of statistical surveillance provides the possibility of making optimal decisions about whether a change has occurred or not based on the data available at the time of the decision. READ MORE
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2. Multivariate Aspects of Phylogenetic Comparative Methods
Abstract : his thesis concerns multivariate phylogenetic comparative methods. We investigate two aspects of them. The first is the bias caused by measurement error in regression studies of comparative data. We calculate the formula for the bias and show how to correct for it. READ MORE
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3. Rank Estimation in Elliptical Models : Estimation of Structured Rank Covariance Matrices and Asymptotics for Heteroscedastic Linear Regression
Abstract : This thesis deals with univariate and multivariate rank methods in making statistical inference. It is assumed that the underlying distributions belong to the class of elliptical distributions. READ MORE
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4. Sensor-based knowledge- and data-driven methods : A case of Parkinson’s disease motor symptoms quantification
Abstract : The overall aim of this thesis was to develop and evaluate new knowledge- and data-driven methods for supporting treatment and providing information for better assessment of Parkinson’s disease (PD).PD is complex and progressive. There is a large amount of inter- and intravariability in motor symptoms of patients with PD (PwPD). READ MORE
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5. Latent variable models for multivariate survival and count data
Abstract : This thesis consists of three papers on multivariate frailty models and one paper on the use of latent class models in genetic association studies. The common theme through the four papers is the use of latent variables to capture complex dependence structures in the data. READ MORE