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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10100 - Mathematics

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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