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Showing result 1 - 5 of 40 swedish dissertations matching the above criteria.
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1. Bilinear Regression and Second Order Calibration
Abstract : We consider calibration of second-order (or "hyphenated") instruments for chemical analysis. Many such instruments generate bilinear two-way (matrix) type data for each specimen. The bilinear regression model is to be estimated from a number of specimens of known composition. READ MORE
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2. The Non-Linear Instantaneous Least Squares Approach to Signal Parameter Estimation
Abstract : Estimation of parameters of non-stationary signals observed in noise is a challenging and difficult task, motivated by applications such as radar and mobile tele-communication. Here, a novel method for signal parameter estimation named the Non-linear Instantaneous Least Squares (NILS) approach is presented, which can be applied to linear and non-linear signals, and to both uniformly and non-uniformly sampled data. READ MORE
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3. Adaptive finite element methods for parameter estimation problems in partial differential equations
Abstract : Physical and chemical phenomena are often described by a system of partial di®erential equations. These equations usually involve unknown parameters, which cannot be measured directly but which can be adjusted to make the model predictions match the observed data. READ MORE
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4. Some Extensions of Fractional Ornstein-Uhlenbeck Model : Arbitrage and Other Applications
Abstract : This doctoral thesis endeavors to extend probability and statistical models using stochastic differential equations. The described models capture essential features from data that are not explained by classical diffusion models driven by Brownian motion.New results obtained by the author are presented in five articles. READ MORE
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5. A covariance structure analysis approach to the errors-in-variables estimation problem
Abstract : It is a well-known fact that standard regression techniques, when applied to errors-in-variables (EIV) models, lead to biased and inconsistent parameter estimation. The work presented in this thesis address the EIV estimation problem using covariance structure analysis (CSA). READ MORE