Search for dissertations about: "statistics of extreme values"
Showing result 1 - 5 of 18 swedish dissertations containing the words statistics of extreme values.
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1. Some Contributions to Description and Validation of the Extreme Value Distribution
Abstract : This thesis focuses on the validation and description of the Gumbel distribution. Since this is a scale and location parameter distribution, the generalized least squares regression of the order statistics on the expected values can be used, without the necessity of iteration, to obtain the best linear unbiased estimates of the parameters. READ MORE
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2. Survey estimation for highly skewed data
Abstract : Estimation of the population total of a highly skewed survey variable from a small sample is problematic if straightforward methods are used since (i) when there are no extreme values in the sample, too small estimates will be obtained (ii) if extreme values are sampled, the estimates will become grotesquely large. Traditional methods for outlier treatment will usually compensate for outliers in the sample, thereby avoiding (ii), whereas the small negative bias of (i) will persist. READ MORE
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3. Estimation of Nonlinear Latent Variable and Mixture Models
Abstract : In this thesis methods are developed for estimation of latent variable models. In particular nonlinear structural equation models are estimated in the presence of ordinal data and mixture models for count data. READ MORE
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4. Large and rare : An extreme values approach to estimating the distribution of large defects in high-performance steels
Abstract : The presence of different types of defects is an important reality for manufacturers and users of engineering materials. Generally, the defects are either considered to be the unwanted products of impurities in the raw materials or to have been introduced during the manufacturing process. READ MORE
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5. 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