dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Externe beoordelaar - External assesor, | |
dc.contributor.author | Bruin, Patricia de | |
dc.date.accessioned | 2022-07-01T00:00:52Z | |
dc.date.available | 2022-07-01T00:00:52Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/41688 | |
dc.description.abstract | When 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.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | In 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.title | The forensic statistical analysis of incident series | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | Clusters of unusual events; incident rates; negative binomial distribution; serial crimes; naked
statistical evidence; fraud; fire incidents; roster cases | |
dc.subject.courseuu | Mathematical Sciences | |
dc.thesis.id | 4427 | |