About: Some computational aspects of robustifed total least squares     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
  • Classical regression estimators, such as the Ordinary Least Squares, are very sensitive to occurrence of outliers and they are not consistent when orthogonality condition is broken and both independent and some dependent variables are considered to be measured with a random error. The method which can cope with this problem is robustified version of the mixed Least Squares - Total Least Squares method, based on the idea of down-weighting the influential points. The existence and the uniqueness of the solution is discussed and di(R)erent approaches of calculation are described. The computational complexity is shown and the exact algorithm based on a branch-and-bound technique that guarantees global optimality is presented. The implementation of the algorithms and theirs application to simulated and real data sets are shown.
  • Classical regression estimators, such as the Ordinary Least Squares, are very sensitive to occurrence of outliers and they are not consistent when orthogonality condition is broken and both independent and some dependent variables are considered to be measured with a random error. The method which can cope with this problem is robustified version of the mixed Least Squares - Total Least Squares method, based on the idea of down-weighting the influential points. The existence and the uniqueness of the solution is discussed and di(R)erent approaches of calculation are described. The computational complexity is shown and the exact algorithm based on a branch-and-bound technique that guarantees global optimality is presented. The implementation of the algorithms and theirs application to simulated and real data sets are shown. (en)
Title
  • Some computational aspects of robustifed total least squares
  • Some computational aspects of robustifed total least squares (en)
skos:prefLabel
  • Some computational aspects of robustifed total least squares
  • Some computational aspects of robustifed total least squares (en)
skos:notation
  • RIV/68407700:21340/11:00189482!RIV12-MSM-21340___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
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
  • 230603
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21340/11:00189482
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • regression coeficients, least square method (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [83E00F5FFCFF]
http://linked.open...v/mistoKonaniAkce
  • Křižánky
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • SPMS 2011 Stochastic and Physical Monitoring Systems - Proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Franc, Jiří
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze. Fakulta jaderná a fyzikálně inženýrská
https://schema.org/isbn
  • 978-80-01-04916-7
http://localhost/t...ganizacniJednotka
  • 21340
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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software