Search for dissertations about: "probability thesis"
Showing result 1 - 5 of 2288 swedish dissertations containing the words probability thesis.
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1. On unequal probability sampling designs
Abstract : The main objective in sampling is to select a sample from a population in order to estimate some unknown population parameter, usually a total or a mean of some interesting variable. When the units in the population do not have the same probability of being included in a sample, it is called unequal probability sampling. READ MORE
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2. Quantum State Analysis : Probability theory as logic in Quantum mechanics
Abstract : Quantum mechanics is basically a mathematical recipe on how to construct physical models. Historically its origin and main domain of application has been in the microscopic regime, although it strictly seen constitutes a general mathematical framework not limited to this regime. READ MORE
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3. Random geometric graphs and their applications in neuronal modelling
Abstract : Random graph theory is an important tool to study different problems arising from real world.In this thesis we study how to model connections between neurons (nodes) and synaptic connections (edges) in the brain using inhomogeneous random distance graph models. READ MORE
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4. Two-Barrier Problems in Applied Probability: Algorithms and Analysis
Abstract : This thesis consists of five papers (A-E). In Paper A, we study transient properties of the queue length process in various queueing settings. We focus on computing the mean and the Laplace transform of the time required for the queue length starting at $x0. We define the loss rate due to the reflection. READ MORE
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5. Unequal Probability Sampling in Active Learning and Traffic Safety
Abstract : This thesis addresses a problem arising in large and expensive experiments where incomplete data come in abundance but statistical analyses require collection of additional information, which is costly. Out of practical and economical considerations, it is necessary to restrict the analysis to a subset of the original database, which inevitably will cause a loss of valuable information; thus, choosing this subset in a manner that captures as much of the available information as possible is essential. READ MORE