Search for dissertations about: "Simple linear regression"
Showing result 1 - 5 of 49 swedish dissertations containing the words Simple linear regression.
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1. The Quest for Robust Model Selection Methods in Linear Regression
Abstract : A fundamental requirement in data analysis is fitting the data to a model that can be used for the purpose of prediction and knowledge discovery. A typical and favored approach is using a linear model that explains the relationship between the response and the independent variables. READ MORE
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2. Weighted Regression with Application to Array Antennas
Abstract : A nonlinear system can be modelled with a simple linear model ifthe model is only valid locally. This can be done by assigningweights to the estimation data, as a function of the distance tothe modelled point. The weighting is here used to develop adirection-dependent calibration method for array antennas. READ MORE
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3. 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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4. On performance analysis of subspace methods in system identification and sensor array processing
Abstract : This thesis addresses the issue of performance analysis of subspace-based parameter estimation methods in two different applications, namely system identification and sensor array processing. The objective is to study the quality of the estimated models as the amount of data increases, and to suggest improvements and give user guidelines. READ MORE
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5. Statistical analysis of gene expression data
Abstract : Microarray technology has become one of the most important tools for genome-wide mRNA measurements. The technique has been successfully applied to many areas in modern biology including cancer research, identification of drug targets, and categorization of genes involved in the cell cycle. READ MORE