About: Consistency and robustness of Cramér-von Mises type estimators     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 paper focuses on the minimum distance density estimates of a probability density function on the real line. We introduce new generalization of Cramér-von Mises distance estimate and so called Kolmogorov-Cramér minimum distance estimate (KC) which includes both Kolmogorov and Cramér-von Mises estimates as the limiting special cases. We prove the consistency of KC estimates in the L1-norm by direct technique employing uniform and local domination relations between statistical distances. Further, we study robustness of this two newly defined estimates and their efficiency for non-contaminated and contaminated samples. Computer simulations compare properties of the minimum Kolmogorov, Cramér-von Mises, Kolmogorov-Cramér, and generalized Cramér-von Mises distance estimates as for the quality of consistency and robustness.
  • The paper focuses on the minimum distance density estimates of a probability density function on the real line. We introduce new generalization of Cramér-von Mises distance estimate and so called Kolmogorov-Cramér minimum distance estimate (KC) which includes both Kolmogorov and Cramér-von Mises estimates as the limiting special cases. We prove the consistency of KC estimates in the L1-norm by direct technique employing uniform and local domination relations between statistical distances. Further, we study robustness of this two newly defined estimates and their efficiency for non-contaminated and contaminated samples. Computer simulations compare properties of the minimum Kolmogorov, Cramér-von Mises, Kolmogorov-Cramér, and generalized Cramér-von Mises distance estimates as for the quality of consistency and robustness. (en)
Title
  • Consistency and robustness of Cramér-von Mises type estimators
  • Consistency and robustness of Cramér-von Mises type estimators (en)
skos:prefLabel
  • Consistency and robustness of Cramér-von Mises type estimators
  • Consistency and robustness of Cramér-von Mises type estimators (en)
skos:notation
  • RIV/68407700:21340/11:00184131!RIV12-MSM-21340___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM6840770039)
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
  • 191708
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21340/11:00184131
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Minimum distance estimate; Cramér-von Mises distance; consistency; robustness (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CA19B31DF2BD]
http://linked.open...v/mistoKonaniAkce
  • Lisbon
http://linked.open...i/riv/mistoVydani
  • Lisabon
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 17th European Young Statisticians Meeting
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hanousková, Jitka
  • Kůs, Václav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Univesidade Nova de Lisboa - Faculdade de ciencias e technologia
https://schema.org/isbn
  • 978-972-8893-27-9
http://localhost/t...ganizacniJednotka
  • 21340
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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software