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dc.contributor.advisorValeinis, Jānisen_US
dc.contributor.authorSaveļjeva, Nataļjaen_US
dc.contributor.otherLatvijas Universitāte. Fizikas un matemātikas fakultāteen_US
dc.date.accessioned2015-03-24T07:06:40Z
dc.date.available2015-03-24T07:06:40Z
dc.date.issued2009en_US
dc.identifier.other13456en_US
dc.identifier.urihttps://dspace.lu.lv/dspace/handle/7/17550
dc.description.abstractDarbâ tika apskatîta vienlaicîgo ticamîbu joslu konstruçðana neparametriskajai regresijai, izmantojot San un Loader un rezidiju butstrapa metodes. Ðî darba mçríis ir pârâdît, ka heteroskedastiskâ gadîjumâ (ja kïûdu dispersija ir atkarîga no regresora), meþonîgâ rezi- diju butstrapa metode strâdâ labâk nekâ klasiskâ metode, kas balstâs uz parametriskiem nosacîjumiem par kïûdu sadalîjuma veidu.en_US
dc.description.abstractIn this work was investigated a constructing of the simultaneous confidence bands in nonparametric regression, using Sun and Loader and residual bootstrap methods. The purpose of this work is to show, that in case of heteroskedasticity (then errors depend on exogenous variables) wild residual bootstrap method works better than classical method, which is based on the type of error distribution.en_US
dc.language.isoN/Aen_US
dc.publisherLatvijas Universitāteen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMatemātikaen_US
dc.titleVienlaicīgās ticamības joslas neperametriskajā regresijāen_US
dc.title.alternativeSimultaneous confidence bands in nonparametric regressionen_US
dc.typeinfo:eu-repo/semantics/masterThesisen_US


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