Some advances in Respondent-driven sampling on directed social networks
2013 (English)Licentiate thesis, comprehensive summary (Other academic)
Respondent-driven sampling (RDS) is one of the most commonly used methods when sampling from hidden or hard-to-reach populations. The RDS methodology combines an improved snowball sampling scheme with a mathematical model that is able to produce unbiased population estimates given that some assumptions about the actual recruitment process are fulfilled. One critical assumption, which is not likely to hold in most cases, is that the underlying social network of the population is undirected. The papers in this thesis provide extensions of RDS theory to populations with partially directed social networks.
Place, publisher, year, edition, pages
Stockholm: Department of Mathematics, Stockholm University , 2013. , 80 p.
Probability Theory and Statistics
Research subject Mathematical Statistics
IdentifiersURN: urn:nbn:se:su:diva-94704OAI: oai:DiVA.org:su-94704DiVA: diva2:654902
2013-11-01, Rum 306, Matematiska institutionen, Hus 6, Kräftriket, Stockholm, 10:00
Frost, Simon, Dr
Britton, Tom, ProfessorLiljeros, Fredrik, Professor
FunderSwedish Research Council, 2009-5759
List of papers