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