Search for dissertations about: "small sample sizes"
Showing result 1 - 5 of 69 swedish dissertations containing the words small sample sizes.
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1. Extreme Value Analysis of Huge Datasets: Tail Estimation Methods in High-Throughput Screening and Bioinformatics
Abstract : This thesis presents results in Extreme Value Theory with applications to High-Throughput Screening and Bioinformatics. The methods described here, however, are applicable to statistical analysis of huge datasets in general. The main results are covered in four papers. READ MORE
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2. Deriving landscape metrics from sample data
Abstract : This thesis focuses on the efficiency of using sampling methods to derive landscape metrics. It also explores what sampling methods are to be preferred for different metrics and how metrics in some cases can be redefined to better suit a sample-based data collection framework. READ MORE
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3. Disentangling small genetic differences in large Atlantic herring populations: comparing genetic markers and statistical power
Abstract : Genes are the foundation of evolution and biodiversity. The genetic structure of natural populations needs to be understood to maintain exploited resources rationally. This thesis focuses on genetic variability and methods to determine spatial and temporal genetic heterogeneities. READ MORE
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4. Detection and 3-D positioning of small defects using digital radiography, 3-D point reconstruction, and tracking
Abstract : The weight and quality concerned aero industry is constantly trying to decrease the excess material in their components. With decreased weight the fuel consumption can be lowered and the negative environmental effects from aviation decreased. READ MORE
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5. On the use of wavelets in unit root and cointegration tests
Abstract : This thesis consists of four essays linked with the use of wavelet methodologies in unit root testing and in the estimation of the cointegrating parameters of bivariate models.In papers I and II, we examine the performance of some existing unit root tests in the presence of error distortions. READ MORE