DNA mixture analysis
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Bootsma, Martin | |
dc.contributor.author | Dirksen, M. | |
dc.date.accessioned | 2014-08-19T17:00:48Z | |
dc.date.available | 2014-08-19T17:00:48Z | |
dc.date.issued | 2014 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/17673 | |
dc.description.abstract | A model for peak height distribution using the bivariate normal distribution is proposed to deal with some flaws of the already established model using the gamma distribution. This new model is compared to the "Gamma model" via artificially generated test data using a model that simulates the PCR process. In addition the performance of these models is compared using data from an actual case. To efficiently execute the computations necessary, techniques using bayesian networks are utilized. | |
dc.description.sponsorship | Utrecht University | |
dc.format.extent | 926786 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | DNA mixture analysis | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | DNA mixtures, bayesian network, forensic science | |
dc.subject.courseuu | Mathematical Sciences |