HIGH-DIMENSIONAL STATISTICAL ANALYSIS OF DEMOGRAPHIC DATA IN
REGIONS OF THE CZECH

D 2017

HIGH-DIMENSIONAL STATISTICAL ANALYSIS OF DEMOGRAPHIC DATA IN REGIONS OF THE CZECH

SKUPINOVÁ, Sylva; Jan MÁČE; Eliška SMOTLACHOVÁ a Tomáš NOVOTNÝ

Základní údaje

Originální název

HIGH-DIMENSIONAL STATISTICAL ANALYSIS OF DEMOGRAPHIC DATA IN REGIONS OF THE CZECH

Autoři

SKUPINOVÁ, Sylva; Jan MÁČE; Eliška SMOTLACHOVÁ a Tomáš NOVOTNÝ

Vydání

první. Olomouc, od s. 662-670, 9 s. 2017

Nakladatel

Palacký University, Olomouc

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50200 5.2 Economics and Business

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Organizační jednotka

University College Prague – Vysoká škola mezinárodních vztahů a Vysoká škola hotelová a ekonomická s.r.o.

ISBN

978-80-244-5233-3

UT WoS

000492966900094

Klíčová slova česky

demografie, populační struktura, dynamické indikátory, klastrová analýza, analýza hlavních součástí

Klíčová slova anglicky

Demographics, population structure, dynamics indicators, cluster analysis, principal component

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 11. 2019 13:15, PhDr. Jan Máče, Ph.D.

Anotace

V originále

This article deals with analysis of demographic data for component regions in the Czech Republic in 2015. Out of the source demographic data of the Czech Statistical Office there were calculated basic indicators, measures and demographic indexes. Using the Principal Component Analysis an extensive number of variables was eliminated to five crucial components which were subsequently included in the targeted Cluster Analysis. On the basis of the Ward method of hierarchic clustering and application of Euclid distance calculation, the probability matrix was compiled to get the resultant dendrogram of the four main clusters. Among other it was found out that region of the capital Prague (Hlavní město Praha) creates separate cluster together with Pardubice, and Central Bohemia (Středočeský) region create separate cluster with Liberec region.

Citovat

SKUPINOVÁ, Sylva; Jan MÁČE; Eliška SMOTLACHOVÁ a Tomáš NOVOTNÝ. HIGH-DIMENSIONAL STATISTICAL ANALYSIS OF DEMOGRAPHIC DATA IN REGIONS OF THE CZECH. Online. první. Olomouc: Palacký University, Olomouc, 2017, s. 662-670. ISBN 978-80-244-5233-3.

@inproceedings{20045,
   author = {Skupinová, Sylva and Máče, Jan and Smotlachová, Eliška and Novotný, Tomáš},
   address = {Olomouc},
   edition = {první},
   editor = {Mgr. Pavla Slavíčková, Ph.D.},
   keywords = {Demographics, population structure, dynamics indicators, cluster analysis, principal component},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Olomouc},
   isbn = {978-80-244-5233-3},
   pages = {662-670},
   publisher = {Palacký University, Olomouc},
   title = {HIGH-DIMENSIONAL STATISTICAL ANALYSIS OF DEMOGRAPHIC DATA IN REGIONS OF THE CZECH},
   url = {http://knowledgeconference.upol.cz/downloads/2017-Knowledge_for_Market_Use_Proceedings.pdf},
   year = {2017}
}

TY  - CONF
ID  - 20045
AU  - Skupinová, Sylva - Máče, Jan - Smotlachová, Eliška - Novotný, Tomáš
PY  - 2017
TI  - HIGH-DIMENSIONAL STATISTICAL ANALYSIS OF DEMOGRAPHIC DATA IN REGIONS OF THE CZECH
PB  - Palacký University, Olomouc
CY  - Olomouc
SN  - 9788024452333
KW  - Demographics, population structure, dynamics indicators, cluster analysis, principal component
UR  - http://knowledgeconference.upol.cz/downloads/2017-Knowledge_for_Market_Use_Proceedings.pdf
L2  - http://knowledgeconference.upol.cz/downloads/2017-Knowledge_for_Market_Use_Proceedings.pdf
N2  - This article deals with analysis of demographic data for component regions in the Czech Republic in 2015. Out of the source demographic data of the Czech Statistical Office there were calculated basic indicators, measures and demographic indexes. Using the Principal Component Analysis an extensive number of variables was eliminated to five crucial components which were subsequently included in the targeted Cluster Analysis. On the basis of the Ward method of hierarchic clustering and application of Euclid distance calculation, the probability matrix was compiled to get the resultant dendrogram of the four main clusters. Among other it was found out that region of the capital Prague (Hlavní město Praha) creates separate cluster together with Pardubice, and Central Bohemia (Středočeský) region create separate cluster with Liberec region.
ER  -

SKUPINOVÁ, Sylva; Jan MÁČE; Eliška SMOTLACHOVÁ a Tomáš NOVOTNÝ. \textit{HIGH-DIMENSIONAL STATISTICAL ANALYSIS OF DEMOGRAPHIC DATA IN REGIONS OF THE CZECH}. Online. první. Olomouc: Palacký University, Olomouc, 2017, s.~662-670. ISBN~978-80-244-5233-3.

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