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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorExterne beoordelaar - External assesor,
dc.contributor.authorBruin, Patricia de
dc.date.accessioned2022-07-01T00:00:52Z
dc.date.available2022-07-01T00:00:52Z
dc.date.issued2022
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/41688
dc.description.abstractWhen a person is involved in a series of incidents, it may be used as evidence in court. An infamous case in the Netherlands is the one of the nurse Lucia de Berk, whose presence during a relatively large number of incidents in hospital wards raised suspicion. Other examples include persons being involved in a high number of fire incidents, or traffic accidents. In this research, we dive into four types of incident series and discuss the different forensic statistical methods that were proposed in the literature to quantify the strength of evidence. We will give comments and recommendations for further improvements of the proposed models. The aim is to write a recommendation to the Netherlands Forensic Institute on how to deal with a series of similar, possibly criminal, events when they are asked by parties such as the police or legal authorities to analyse the statistical evidence.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectIn this research thesis, we present an overview of different types of situations involving incident series in legal cases and the various ways to interpret statistical evidence for these events.
dc.titleThe forensic statistical analysis of incident series
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsClusters of unusual events; incident rates; negative binomial distribution; serial crimes; naked statistical evidence; fraud; fire incidents; roster cases
dc.subject.courseuuMathematical Sciences
dc.thesis.id4427


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