About: Exploring the Regional Czech Household Income Dynamics Regression Mixtures     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
  • Model-based cluster analysis is popular methods for grouping observations into unobserved segments. The article deals with cluster analysis of household income dynamics based on the results of statistical survey EU SILC 2005-2008. In this paper we address the problem of clustering sets of trajectory data generated by households in different regions. The focus is to model curve data directly using a set of model-based curve clustering algorithms referred to as mixtures of regressions or regression mixtures. The R environment (R Development Core Team, 2010) is used for mixture model analysis.
  • Model-based cluster analysis is popular methods for grouping observations into unobserved segments. The article deals with cluster analysis of household income dynamics based on the results of statistical survey EU SILC 2005-2008. In this paper we address the problem of clustering sets of trajectory data generated by households in different regions. The focus is to model curve data directly using a set of model-based curve clustering algorithms referred to as mixtures of regressions or regression mixtures. The R environment (R Development Core Team, 2010) is used for mixture model analysis. (en)
Title
  • Exploring the Regional Czech Household Income Dynamics Regression Mixtures
  • Exploring the Regional Czech Household Income Dynamics Regression Mixtures (en)
skos:prefLabel
  • Exploring the Regional Czech Household Income Dynamics Regression Mixtures
  • Exploring the Regional Czech Household Income Dynamics Regression Mixtures (en)
skos:notation
  • RIV/00216224:14310/11:00056752!RIV12-MSM-14310___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 3
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
  • 198989
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/11:00056752
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • clustering; mixtures of regressions; generalised linear model; linear mixed models; household income; EU SILC (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • SK - Slovenská republika
http://linked.open...ontrolniKodProRIV
  • [B3B794E3D034]
http://linked.open...i/riv/nazevZdroje
  • Aplimat - Journal of Applied Mathematics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 4(2011)
http://linked.open...iv/tvurceVysledku
  • Forbelská, Marie
issn
  • 1337-6365
number of pages
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, 39 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software