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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
Results for "Probability Distributions on a Circle"
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Fall 2018
any attempts on the theoretical analysis of the underlying point process model. In addition, extensions of the analytical methodology used in Poisson models to more general point process models are often hindered due to the lack of closed-form empty space function and the probability generating
studied the distributional properties of the empty space distances in the Matérn hard core point process of Type II, and proposed a piecewise probability density function for the empty space distance, including an exact expression and a heuristic formula, which can be fitted by aWeibull-like function
Stochastic geometry provides a way of defining and computing macroscopic properties of large scale wireless networks, by averaging over all possible spatial patterns of the network nodes. It abstracts the network as realizations of point process models, and analyzes the network performance in a