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Measurement of Multicollinearity Using Determinants of Correlation Matrix

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26138077%3A_____%2F14%3A%230000802" target="_blank" >RIV/26138077:_____/14:#0000802 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Measurement of Multicollinearity Using Determinants of Correlation Matrix

  • Original language description

    The infallibility of assessments of regression coefficients of multiple linear regression is greatly affected by multicollinearity. Basically, all familiar methods related to its measurement are based on a certain way of measuring absolute closeness of the complex of independent variables. This study presents the measurement of multicollinearity as a quotient of total closeness of the complex of dependent variables and the whole system. The total closeness is measured by quantity 1 ? | R |. Such an indicator has convenient qualities and can be applied together with the most important correlation features.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Mathematical Sciences

  • ISSN

    2051-5995

  • e-ISSN

  • Volume of the periodical

    34

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    7

  • Pages from-to

    1543-1549

  • UT code for WoS article

  • EID of the result in the Scopus database