Search for dissertations about: "multiple testing"
Showing result 1 - 5 of 314 swedish dissertations containing the words multiple testing.
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1. Testing of Heterogeneous Systems
Abstract : Context: A system of systems often exhibits heterogeneity, for instance in implementation, hardware, process and verification. We define a heterogeneous system, as a system comprised of multiple systems (system of systems) where at least one subsystem exhibits heterogeneity with respect to the other systems. READ MORE
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2. Maximum a posteriori deconvulution of ultrasonic data with applications in nondestructive testing : Multiple transducer and robustness is
Abstract : In the thesis, various aspects of deconvolution of ultrasonic pulse-echo signals in nondestructive testing are treated. The deconvolution problem is formulated as estimation of a reflection sequence which is the impulse characteristic of the inspected object and the estimation is performed using either maximum a posteriori (MAP) or linear minimum mean square error (MMSE) estimators. READ MORE
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3. On the Industrial Applicability of Visual GUI Testing
Abstract : There is constant pressure on the software development industry to improve software quality and deliver new and innovative software faster and more efficiently. These demands affect all aspects of software development, from requirements engineering to testing. READ MORE
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4. Multiple categorization in hiring : The stereotype content model perspective
Abstract : Hiring discrimination research has predominantly focused on labor market outcomes based on one or two group memberships, most commonly ethnicity and gender. The main aim of the doctoral dissertation is to explore warmth and competence perceptions associated with multiple demographic group membership and how they may affect evaluations and behavior in a workplace and hiring context. READ MORE
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5. Model-Based Hypothesis Testing in Biomedicine : How Systems Biology Can Drive the Growth of Scientific Knowledge
Abstract : The utilization of mathematical tools within biology and medicine has traditionally been less widespread compared to other hard sciences, such as physics and chemistry. However, an increased need for tools such as data processing, bioinformatics, statistics, and mathematical modeling, have emerged due to advancements during the last decades. READ MORE