Regression Analysis as a Part of Spatial Assessment based on MultiCriteria Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F20%3A10245304" target="_blank" >RIV/61989100:27510/20:10245304 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.ekf.vsb.cz/export/sites/ekf/raspo/.content/galerie-souboru/2020/Conference-proceedings-of-RASPO-2020.pdf" target="_blank" >https://www.ekf.vsb.cz/export/sites/ekf/raspo/.content/galerie-souboru/2020/Conference-proceedings-of-RASPO-2020.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Regression Analysis as a Part of Spatial Assessment based on MultiCriteria Approach

Popis výsledku v původním jazyce

Making correct managerial decision in the 21st century requires assessment of a wide range of alternatives within each economy sector. TOPSIS technology combined with CV method (Coefficient of Variance) has been used to specify weights of indicators in order to make acquired results more objective. Sixty-eight district towns have been assessed by means of 6 indicators in the Slovak Republic during 2016. The key benefit of the research is to emphasize complex assessment of the selected subject group concerning local self-government. Results are also used as input data for 5 regression models. Different assumptions have been tested, one of them was identified and used for the purpose of this assessment concerning spatial analysis. Based on the performed analyses, completion of results by means of regression model is considered as meaningful. It enables to identify over-estimated or underestimated fields for even more detailed research. The analysis proved necessity to devote mayor attention to the choice of the regression model. It is not sufficient to base the choice exclusively on coefficient of determination.

Název v anglickém jazyce

Regression Analysis as a Part of Spatial Assessment based on MultiCriteria Approach

Popis výsledku anglicky

Making correct managerial decision in the 21st century requires assessment of a wide range of alternatives within each economy sector. TOPSIS technology combined with CV method (Coefficient of Variance) has been used to specify weights of indicators in order to make acquired results more objective. Sixty-eight district towns have been assessed by means of 6 indicators in the Slovak Republic during 2016. The key benefit of the research is to emphasize complex assessment of the selected subject group concerning local self-government. Results are also used as input data for 5 regression models. Different assumptions have been tested, one of them was identified and used for the purpose of this assessment concerning spatial analysis. Based on the performed analyses, completion of results by means of regression model is considered as meaningful. It enables to identify over-estimated or underestimated fields for even more detailed research. The analysis proved necessity to devote mayor attention to the choice of the regression model. It is not sufficient to base the choice exclusively on coefficient of determination.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10100 - Mathematics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

The 3th online International Scientific Conference Development and Adnimistration of Border Areas of the Czech republic and Poland - Support for Sustainable Development : 12. June 2020, Ostrava

ISBN

978-80-248-4412-1

ISSN

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e-ISSN

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Počet stran výsledku

7

Strana od-do

238-244

Název nakladatele

VŠB - Technical University of Ostrava

Místo vydání

Ostrava

Místo konání akce

Ostrava

Datum konání akce

20. 6. 2020

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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