| dc.contributor.advisor | Hlávka, Zdeněk | |
| dc.creator | Dibák, Miroslav | |
| dc.date.accessioned | 2017-04-20T15:54:48Z | |
| dc.date.available | 2017-04-20T15:54:48Z | |
| dc.date.issued | 2009 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11956/27418 | |
| dc.description.abstract | The convolution has a big signification in mathematical statistics. In the opening chapter, we define basic terms used in the thesis and we introduce the convolution and basic relations related to this term. In the second chapter, we attend to kernel estimators, mainly the kernel density estimator and the kernel charakteristic function estimator. In the third chapter, we attend to the deconvolution and we summarize the basic theoretical properties of the deconvolution estimator. In the last chapter of this thesis we present a possible application in medicine. The properties of the proposed estimator are investigated in a small simulation study. | en_US |
| dc.language | Slovenčina | cs_CZ |
| dc.language.iso | sk_SK | |
| dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
| dc.title | Dekonvoluce | sk_SK |
| dc.type | diplomová práce | cs_CZ |
| dcterms.created | 2009 | |
| dcterms.dateAccepted | 2009-09-22 | |
| 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 | 47618 | |
| dc.title.translated | Deconvolution | en_US |
| dc.title.translated | Dekonvoluce | cs_CZ |
| dc.contributor.referee | Hurt, Jan | |
| dc.identifier.aleph | 001171471 | |
| thesis.degree.name | Mgr. | |
| thesis.degree.level | navazující magisterské | cs_CZ |
| thesis.degree.discipline | Finanční a pojistná matematika | cs_CZ |
| thesis.degree.discipline | Financial and insurance mathematics | 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 | Finanční a pojistná matematika | cs_CZ |
| uk.degree-discipline.en | Financial and insurance mathematics | 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 | The convolution has a big signification in mathematical statistics. In the opening chapter, we define basic terms used in the thesis and we introduce the convolution and basic relations related to this term. In the second chapter, we attend to kernel estimators, mainly the kernel density estimator and the kernel charakteristic function estimator. In the third chapter, we attend to the deconvolution and we summarize the basic theoretical properties of the deconvolution estimator. In the last chapter of this thesis we present a possible application in medicine. The properties of the proposed estimator are investigated in a small simulation study. | 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 | 990011714710106986 | |
