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Prikladnaya Diskretnaya Matematika, 2015, Number 4(30), Pages 109–119
DOI: https://doi.org/10.17223/20710410/30/11
(Mi pdm522)
 

This article is cited in 2 scientific papers (total in 2 papers)

Discrete Models for Real Processes

Method for estimating connection power of binary and nominal variables

S. V. Dronov, I. Yu. Boyko

Altai State University, Barnaul, Russia
Full-text PDF (632 kB) Citations (2)
References:
Abstract: Nowadays, one of the common connection types in statistical data processing is the connection between numerical (nominal) and binary variables. We propose a new coefficient for evaluation of this type connection. It is quite different from Pearson's correlation coefficient and focused at the “ledge” type of connection, which means that the binary variable is expected to take one of its values only within some unknown but fixed boundaries for the the numerical variable. We call it ledge-coefficient. Application scope for the proposed coefficient is discussed. Algorithms for calculating ledge-coefficient and for searching all cases when the ledge connection is extremely weak or strong are proposed. Comparative examples for estimating connection power by ledge-coefficient and by Pearson's correlation coefficient or by Kendall's tau are shown.
Keywords: binary and nominal variables, normative intervals, ledge connection, binary string.
Bibliographic databases:
Document Type: Article
UDC: 519.168
Language: Russian
Citation: S. V. Dronov, I. Yu. Boyko, “Method for estimating connection power of binary and nominal variables”, Prikl. Diskr. Mat., 2015, no. 4(30), 109–119
Citation in format AMSBIB
\Bibitem{DroBoi15}
\by S.~V.~Dronov, I.~Yu.~Boyko
\paper Method for estimating connection power of binary and nominal variables
\jour Prikl. Diskr. Mat.
\yr 2015
\issue 4(30)
\pages 109--119
\mathnet{http://mi.mathnet.ru/pdm522}
\crossref{https://doi.org/10.17223/20710410/30/11}
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  • https://www.mathnet.ru/eng/pdm/y2015/i4/p109
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Прикладная дискретная математика
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    References:76
     
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