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Statements

Subject Item
n2:RIV%2F00216275%3A25410%2F11%3A39882485%21RIV12-GA0-25410___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
The submitted paper focuses on the utilization of the concept of aggregated indicators for expressing the competitiveness of regions. The statistical methods, factor and cluster analysis, have been used for the modeling. In this modeling process real data from the Eurostat statistics database are used. These data contain diverse information about the second level of nomenclature of territorial units for statistics and comparable regions. The result of the factor analysis is the development of a set of new composite indicators that markedly contribute to the increase of competitiveness of a given region. The results of the cluster analysis algorithms (K-means and Kohonen's map) are clusters of the selected regions constructed by clustering composite indicators values The submitted paper focuses on the utilization of the concept of aggregated indicators for expressing the competitiveness of regions. The statistical methods, factor and cluster analysis, have been used for the modeling. In this modeling process real data from the Eurostat statistics database are used. These data contain diverse information about the second level of nomenclature of territorial units for statistics and comparable regions. The result of the factor analysis is the development of a set of new composite indicators that markedly contribute to the increase of competitiveness of a given region. The results of the cluster analysis algorithms (K-means and Kohonen's map) are clusters of the selected regions constructed by clustering composite indicators values
dcterms:title
Multidimensional Modelling of Cohesion Regions Multidimensional Modelling of Cohesion Regions
skos:prefLabel
Multidimensional Modelling of Cohesion Regions Multidimensional Modelling of Cohesion Regions
skos:notation
RIV/00216275:25410/11:39882485!RIV12-GA0-25410___
n16:predkladatel
n17:orjk%3A25410
n3:aktivita
n13:P
n3:aktivity
P(GA402/08/0849)
n3:cisloPeriodika
1
n3:dodaniDat
n11:2012
n3:domaciTvurceVysledku
n9:8325049 n9:2339919 n9:7502141
n3:druhVysledku
n15:J
n3:duvernostUdaju
n18:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
214207
n3:idVysledku
RIV/00216275:25410/11:39882485
n3:jazykVysledku
n6:eng
n3:klicovaSlova
NUTS 2 region; factor analysis; composite indicators; Cluster analysis
n3:klicoveSlovo
n4:NUTS%202%20region n4:composite%20indicators n4:factor%20analysis n4:Cluster%20analysis
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[74001F086009]
n3:nazevZdroje
International Journal of Mathematical Models and Methods in Applied Sciences
n3:obor
n19:AE
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:projekt
n12:GA402%2F08%2F0849
n3:rokUplatneniVysledku
n11:2011
n3:svazekPeriodika
5
n3:tvurceVysledku
Křupka, Jiří Provazníková, Romana Petr, Pavel
s:issn
1998-0140
s:numberOfPages
9
n8:organizacniJednotka
25410