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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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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
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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
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EID of the result in the Scopus database
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