About: Smooth Estimates of Distribution Functions with Application in Environmental Studies     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • The most commonly used nonparametric estimate of a cumulative distribution function F is an empirical distribution function F_n. But F_n is a step function even in case that F is continuous. The present paper aims to provide a smooth estimate of F. Kernel methods seem to be adequate for this purpose. There exist several methods how to choose a bandwidth. We propose a method of bandwidth selection based on a suitable estimate of Mean Integrated Square Error. We also focus on an estimate of a cumulative distribution function in case that random variables X_1,...,X_n are nonnegative. The aforementioned methods are not reliable near the point x=0. In order to avoid this problem we propose a~reflection method. A simulation study is conducted to compare the performance of the different methods of bandwidth choice. Theoretical results are applied to the data concerning the content of toxic material in the fish population in Lake Ontario.
  • The most commonly used nonparametric estimate of a cumulative distribution function F is an empirical distribution function F_n. But F_n is a step function even in case that F is continuous. The present paper aims to provide a smooth estimate of F. Kernel methods seem to be adequate for this purpose. There exist several methods how to choose a bandwidth. We propose a method of bandwidth selection based on a suitable estimate of Mean Integrated Square Error. We also focus on an estimate of a cumulative distribution function in case that random variables X_1,...,X_n are nonnegative. The aforementioned methods are not reliable near the point x=0. In order to avoid this problem we propose a~reflection method. A simulation study is conducted to compare the performance of the different methods of bandwidth choice. Theoretical results are applied to the data concerning the content of toxic material in the fish population in Lake Ontario. (en)
  • Nejčastěji používaným neparametrickým odhadem distribuční funkce F je empirický odhad F_n. Avšak F_n je schodovitá funkce i v případech, kdy distribuční funkce F je spojitá. Cílem práce je poskytnout hladký odhad F, zde budou použity jádrové odhady. V literatuře existuje několik metod pro volbu optimální šířky okna. Bude zde navržena metoda založená na vhodném odhadu sřední integrální kvadratické chyby (MISE). Zaměříme se také na případ, kdy všechny hodnoty pozorování X_1 ... X_n jsou nezáporné. Zde nastávají problémy při odhadech distribuční funkce F blízko bodu x=0. Abychom se vyhnuli těmto problémům, bude použita tzv. metoda zrcadlení. Cílem simulační studie je porovnat různé metody pro hledání optimální šířky okna. Teoretické výsledky jsou aplikovány na datech toxických látek v rybí populaci v jezeře Ontario. (cs)
Title
  • Smooth Estimates of Distribution Functions with Application in Environmental Studies
  • Smooth Estimates of Distribution Functions with Application in Environmental Studies (en)
  • Hladké odhady distribučních funkcí s aplikací v environmentálních studiích (cs)
skos:prefLabel
  • Smooth Estimates of Distribution Functions with Application in Environmental Studies
  • Smooth Estimates of Distribution Functions with Application in Environmental Studies (en)
  • Hladké odhady distribučních funkcí s aplikací v environmentálních studiích (cs)
skos:notation
  • RIV/00216224:14310/07:00022321!RIV08-MSM-14310___
http://linked.open.../vavai/riv/strany
  • 49-49
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(LC06024)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 450548
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/07:00022321
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • cumulative distribution function; kernel smoothing; reflection method (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [68829A1DC237]
http://linked.open...v/mistoKonaniAkce
  • Mikulov
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • TIES 2007 Book of Abstracts
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Koláček, Jan
  • Horová, Ivanka
  • Zelinka, Jiří
  • El-Shaarawi, Abdel H.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Masaryk University
https://schema.org/isbn
  • 978-80-210-4333-6
http://localhost/t...ganizacniJednotka
  • 14310
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 84 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software