Search for dissertations about: "Sensitivity curve"
Showing result 1 - 5 of 94 swedish dissertations containing the words Sensitivity curve.
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1. Contributions to generalized Wilcoxon rank tests
Abstract : In unbalanced small sample size problems with right censorings, the variance estmators of linear rank statistics, may be biased. This is the case with the commonly applied variance estimators for the generalized Wilcoxon rank test statistics of Gehan and Prentice. READ MORE
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2. Aspects of analysis of small-sample right censored data using generalized Wilcoxon rank tests
Abstract : The estimated bias and variance of commonly applied and jackknife variance estimators and observed significance level and power of standardised generalized Wilcoxon linear rank sum test statistics and tests, respectively, of Gehan and Prentice are compared in a Monte Carlo simulation study. The variance estimators are the permutational-, the conditional permutational- and the jackknife variance estimators of the test statistic of Gehan, and the asymptotic- and the jackknife variance estimators of the test statistic of Prentice. READ MORE
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3. Sensitivity, Noise and Detection of Enzyme Inhibition in Progress Curves
Abstract : Starting with the development of an enzymatic assay, where an enzyme in solution hydrolysed a solid-phase bound peptide, a model for the kinetics of enzyme action was introduced. This model allowed the estimation of kinetic parameters and enzyme activity for a system that has the peculiarity of not being saturable with the substrate, but with the enzyme. READ MORE
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4. The Plastic Flow Behaviour of Aluminium Alloys Exhibiting Dynamic Strain Ageing
Abstract : The phenomenon known as dynamic strain ageing, abbreviated DSA, has been known since the beginning of last century. It was first discovered as serrations in the load-elongation curve obtained upon deforming specimens of certain alloys in tension. This phenomenon became known as the Portevin-Le Chatelier (PLC) effect. READ MORE
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5. Laser Sheet Imaging and Image Analysis for Combustion Research
Abstract : This Thesis presents techniques that aim at exploiting the potential of image analysis and processing in order to solve problems of data reduction, interpolation, quantification, and interpretation within the field of experimental laser imaging of combustion processes. Combustion is the most important source of energy for power generation, heating, and transportation in the world today and its strong dominance is projected to continue in the foreseeable future. READ MORE