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 and Tomáš NOVOTNÝ

Basic information

Original name

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

Authors

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

Edition

první. Olomouc, p. 662-670, 9 pp. 2017

Publisher

Palacký University, Olomouc

Other information

Language

English

Type of outcome

Proceedings paper

Field of Study

50200 5.2 Economics and Business

Country of publisher

Czech Republic

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

References:

URL

Organization unit

University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.

ISBN

978-80-244-5233-3

UT WoS

000492966900094

Keywords (in Czech)

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

Keywords in English

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

Abstract

In the original language

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.

Cite

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

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