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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25619161%3A_____%2F17%3AN0000039" target="_blank" >RIV/25619161:_____/17:N0000039 - isvavai.cz</a>

Výsledek na webu

<a href="http://knowledgeconference.upol.cz/downloads/2017-Knowledge_for_Market_Use_Proceedings.pdf" target="_blank" >http://knowledgeconference.upol.cz/downloads/2017-Knowledge_for_Market_Use_Proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

KNOWLEDGE FOR MARKET USE 2017: PEOPLE IN ECONOMICS – DECISIONS, BEHAVIOR AND NORMATIVE MODELS

ISBN

978-80-244-5233-3

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

662-670

Název nakladatele

Univerzita Palackého v Olomouci

Místo vydání

Olomouc

Místo konání akce

Olomouc

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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