Regression Analysis as a Part of Spatial Assessment based on MultiCriteria Approach
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
Regression Analysis as a Part of Spatial Assessment based on MultiCriteria Approach
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10100 - Mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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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Number of pages
7
Pages from-to
238-244
Publisher name
VŠB - Technical University of Ostrava
Place of publication
Ostrava
Event location
Ostrava
Event date
Jun 20, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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