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  • Předkládaný článek se věnuje problematice popsání struktury dat, a to prostřednictvím jádrového vyhlazování s užitím Gasser-Müllerova odhadu. Dále se zaměřuje na problematiku hraničních efektů Gasser-Müllerova odhadu. Hraničními efekty vlastně rozumíme zhoršení kvality odhadu v hraniční oblasti. Prezentovaná metoda zrcadlení pro jádra druhého řádu nabízí způsob, jak tento problém řešit a zkonstruovat lepší odhad. Technika zrcadlení nemá vliv na kvalitu odhadu mimo hraniční body. (cs)
  • Kernel smoothing provides a simple way how to find structure in the data. The idea of kernel smoothing can be applied to a simple fixed design regression model using the Gasser-Müller estimator. This article is focused on edge effects of Gasser-Müller estimator. By edge effects we mean deterioration of nonparametric estimate quality unknown regression function constructed near the edge points. Presented reflection technique for kernel of the second order gives a good instrument to make an estimate better. The reflection technique has an influence on the estimate outside edge points.
  • Kernel smoothing provides a simple way how to find structure in the data. The idea of kernel smoothing can be applied to a simple fixed design regression model using the Gasser-Müller estimator. This article is focused on edge effects of Gasser-Müller estimator. By edge effects we mean deterioration of nonparametric estimate quality unknown regression function constructed near the edge points. Presented reflection technique for kernel of the second order gives a good instrument to make an estimate better. The reflection technique has an influence on the estimate outside edge points. (en)
Title
  • Edge effects of the Gasser-Muller estimator
  • Edge effects of the Gasser-Muller estimator (en)
  • Hraniční efekty Gasser-Mullerova odhadu (cs)
skos:prefLabel
  • Edge effects of the Gasser-Muller estimator
  • Edge effects of the Gasser-Muller estimator (en)
  • Hraniční efekty Gasser-Mullerova odhadu (cs)
skos:notation
  • RIV/62156489:43110/04:00002036!RIV/2005/MSM/431105/N
http://linked.open.../vavai/riv/strany
  • 307;314
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 431100007)
http://linked.open...vai/riv/dodaniDat
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http://linked.open...iv/duvernostUdaju
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  • 561674
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43110/04:00002036
http://linked.open...riv/jazykVysledku
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  • Gasser-Müller estimator;edge effects;kernel;reflection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [869F5F2AD7D5]
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Summer School Datastat03, Proceedings, Folia Fac.Sci.Nat.Univ.Masaryk.Brunensis,Mathematica 15, 2004
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Poměnková, Jitka
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Masarykova univerzita
https://schema.org/isbn
  • 80-210-3564-1
http://localhost/t...ganizacniJednotka
  • 43110
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