| dc.contributor.advisor | Kárný, Miroslav | |
| dc.creator | Sečkárová, Vladimíra | |
| dc.date.accessioned | 2017-04-20T15:23:36Z | |
| dc.date.available | 2017-04-20T15:23:36Z | |
| dc.date.issued | 2010 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11956/27301 | |
| dc.description.abstract | In this work we study problems of sharing of probabilistic information by using Supra-Bayesian approach. In 1st Chapter the methods and formulas used in the work are mentioned. 2nd Chapter contains the introduction to discussed topic. In 3rd Chapter the main method of sharing the probabilistic information, which is based on common domain, is derived. In 4th Chapter the types of given knowledge pieces are specified, which are then transformed into probabilistic terms and extended on the whole domain. In 5th Chapter the results from the previous chapters are assessed. | en_US |
| dc.language | English | cs_CZ |
| dc.language.iso | en_US | |
| dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
| dc.title | Supra-bayesovská kombinace pravděpodobnostních distribucí | en_US |
| dc.type | diplomová práce | cs_CZ |
| dcterms.created | 2010 | |
| dcterms.dateAccepted | 2010-05-13 | |
| 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 | 65821 | |
| dc.title.translated | Supra-bayesovská kombinace pravděpodobnostních distribucí | cs_CZ |
| dc.contributor.referee | Komárek, Arnošt | |
| dc.identifier.aleph | 001393873 | |
| 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 | Výborně | cs_CZ |
| thesis.grade.en | Excellent | en_US |
| uk.abstract.en | In this work we study problems of sharing of probabilistic information by using Supra-Bayesian approach. In 1st Chapter the methods and formulas used in the work are mentioned. 2nd Chapter contains the introduction to discussed topic. In 3rd Chapter the main method of sharing the probabilistic information, which is based on common domain, is derived. In 4th Chapter the types of given knowledge pieces are specified, which are then transformed into probabilistic terms and extended on the whole domain. In 5th Chapter the results from the previous chapters are assessed. | 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 | 990013938730106986 | |
