| dc.contributor.advisor | Hušková, Marie | |
| dc.creator | Hyklová, Bronislava | |
| dc.date.accessioned | 2017-03-31T09:46:11Z | |
| dc.date.available | 2017-03-31T09:46:11Z | |
| dc.date.issued | 2007 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11956/8162 | |
| dc.description.abstract | The thesis studies variance function estimation in nonparametric regression model. It focuses on local polynomial estimators particularly. Exact expressions of conditional variance function estimator bias and covariance are derived and important asymptotical aproximations of these characteristics are also provided. Further the EBBS method for bandwidth selection and Dette's homoscedasticity test are described. Results of Prague Klementinum data processing are presented at the end of the thesis. | en_US |
| dc.language | Čeština | cs_CZ |
| dc.language.iso | cs_CZ | |
| dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
| dc.title | Odhady varianční funkce v neparametrických regresních modelech | cs_CZ |
| dc.type | diplomová práce | cs_CZ |
| dcterms.created | 2007 | |
| dcterms.dateAccepted | 2007-02-05 | |
| dc.description.department | Katedra pravděpodobnosti a matematické statistiky | cs_CZ |
| dc.description.department | Department of Probability and Mathematical Statistics | en_US |
| dc.description.faculty | Faculty of Mathematics and Physics | en_US |
| dc.description.faculty | Matematicko-fyzikální fakulta | cs_CZ |
| dc.identifier.repId | 42159 | |
| dc.title.translated | Estimators of variance function in nonparametric regression | en_US |
| dc.contributor.referee | Antoch, Jaromír | |
| dc.identifier.aleph | 000850326 | |
| thesis.degree.name | Mgr. | |
| thesis.degree.level | magisterské | cs_CZ |
| thesis.degree.discipline | Učitelství matematiky pro střední školy v kombinaci s odbornou matematikou | cs_CZ |
| thesis.degree.discipline | Program for future teachers of mathematics for high schools in combination with professional 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 | Učitelství matematiky pro střední školy v kombinaci s odbornou matematikou | cs_CZ |
| uk.degree-discipline.en | Program for future teachers of mathematics for high schools in combination with professional 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 thesis studies variance function estimation in nonparametric regression model. It focuses on local polynomial estimators particularly. Exact expressions of conditional variance function estimator bias and covariance are derived and important asymptotical aproximations of these characteristics are also provided. Further the EBBS method for bandwidth selection and Dette's homoscedasticity test are described. Results of Prague Klementinum data processing are presented at the end of the thesis. | 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 | 990008503260106986 | |
