dc.contributor.advisor | Zvárová, Jana | |
dc.creator | Slovák, Dalibor | |
dc.date.accessioned | 2017-04-20T15:22:49Z | |
dc.date.available | 2017-04-20T15:22:49Z | |
dc.date.issued | 2009 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11956/27297 | |
dc.description.abstract | In the present work we study an identification of culprit and assesment of evidence against him. At first we define a simple model called the island problem and we derive the weight-of-evidence formula in its basic form. In the next chapters we analyse several modifications of island problem and related issues. We find how we can deal with uncertainty about basic parametres of model, like size of population. We investigate possibility of inclusion of different errors or influence of relatedness and subpopulation structure into model. At the close we enlarge mixtures of DNA, including deriving and programming of appropriate formulas. | en_US |
dc.language | Čeština | cs_CZ |
dc.language.iso | cs_CZ | |
dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
dc.title | Statistické metody pro stanovení váhy evidence v procesu identifikace. | cs_CZ |
dc.type | diplomová práce | cs_CZ |
dcterms.created | 2009 | |
dcterms.dateAccepted | 2009-09-14 | |
dc.description.department | Department of Probability and Mathematical Statistics | en_US |
dc.description.department | Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
dc.description.faculty | Faculty of Mathematics and Physics | en_US |
dc.description.faculty | Matematicko-fyzikální fakulta | cs_CZ |
dc.identifier.repId | 65264 | |
dc.title.translated | Statistical methods for determination of the weight of evidence in the identification process | en_US |
dc.contributor.referee | Klebanov, Lev | |
dc.identifier.aleph | 001171372 | |
thesis.degree.name | Mgr. | |
thesis.degree.level | navazující magisterské | cs_CZ |
thesis.degree.discipline | Pravděpodobnost, matematická statistika a ekonometrie | cs_CZ |
thesis.degree.discipline | Probability, mathematical statistics and econometrics | en_US |
thesis.degree.program | Matematika | cs_CZ |
thesis.degree.program | Mathematics | en_US |
uk.thesis.type | diplomová práce | cs_CZ |
uk.taxonomy.organization-cs | Matematicko-fyzikální fakulta::Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
uk.taxonomy.organization-en | Faculty of Mathematics and Physics::Department of Probability and Mathematical Statistics | en_US |
uk.faculty-name.cs | Matematicko-fyzikální fakulta | cs_CZ |
uk.faculty-name.en | Faculty of Mathematics and Physics | en_US |
uk.faculty-abbr.cs | MFF | cs_CZ |
uk.degree-discipline.cs | Pravděpodobnost, matematická statistika a ekonometrie | cs_CZ |
uk.degree-discipline.en | Probability, mathematical statistics and econometrics | en_US |
uk.degree-program.cs | Matematika | cs_CZ |
uk.degree-program.en | Mathematics | en_US |
thesis.grade.cs | Velmi dobře | cs_CZ |
thesis.grade.en | Very good | en_US |
uk.abstract.en | In the present work we study an identification of culprit and assesment of evidence against him. At first we define a simple model called the island problem and we derive the weight-of-evidence formula in its basic form. In the next chapters we analyse several modifications of island problem and related issues. We find how we can deal with uncertainty about basic parametres of model, like size of population. We investigate possibility of inclusion of different errors or influence of relatedness and subpopulation structure into model. At the close we enlarge mixtures of DNA, including deriving and programming of appropriate formulas. | en_US |
uk.file-availability | V | |
uk.publication.place | Praha | cs_CZ |
uk.grantor | Univerzita Karlova, Matematicko-fyzikální fakulta, Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
dc.identifier.lisID | 990011713720106986 | |