Sökning: "community statistik"
Visar resultat 1 - 5 av 66 uppsatser innehållade orden community statistik.
1. A test of the Environmental Kuznets Curve in the Nordic countries
Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistikSammanfattning : Climate change arising from global warming is an important issue for the global community to resolve for the prospect of a sustainable future. It is therefore crucial to gain understanding in how nations can contain the progression of global warming created by emissions of greenhouse gases. LÄS MER
2. Impact of Central Nodes in Information Propagation over Graphs
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : There are many systems which can be represented as graphs, to say the least the networks in which we communicate with each other. Thorough understanding of graph structures enables better predictions of the dynamics in real life networks, such as the spreading of a disease in a community or failure propagation in a system. LÄS MER
3. "Det fyllde ett tomrum i själen" : En kvalitativ studie om ungdomars vägar in och ut ur kriminalitet
Kandidat-uppsats, Högskolan i Halmstad/Akademin för hälsa och välfärdSammanfattning : Ungdomsåren är den mest brottsintensiva perioden i människans liv och män har i statistik visat sig dominera över kvinnliga förbrytare. Kriminalitet skapar otrygghet i samhället och får konsekvenser för både den som befinner sig i kriminalitet och för dem som är i dennes omgivning. LÄS MER
4. Community Detection in Directed Graphs for Cell-to-Sector Mapping Using Handover Statistics in Mobile Communication Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Many use cases in mobile communication networks are dependent on knowledge of which cells serve the same sector. These use cases include network planning, optimization and troubleshooting. Current methods of obtaining knowledge regarding this cell-to-sector mapping are based on naming conventions of cells. LÄS MER
5. Modelling rare events using non-parametric machine learning classifiers - Under what circumstances are support vector machines preferable to conventional parametric classifiers?
Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistikSammanfattning : Rare event modelling is an important topic in quantitative social science research. However, despite the fact that traditional classifiers based upon general linear models (GLM) might lead to biased results, little attention in the social science community is devoted to methodological studies aimed at alleviating such bias, even fewer of them have considered the use of machine learning methods to tackle analytical problems imposed by rare events. LÄS MER