How to Distinguish True Dependence from Varying Independence?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F13%3A33147960" target="_blank" >RIV/61989592:15310/13:33147960 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.6148/IJITAS.2013.0604.02" target="_blank" >http://dx.doi.org/10.6148/IJITAS.2013.0604.02</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.6148/IJITAS.2013.0604.02" target="_blank" >10.6148/IJITAS.2013.0604.02</a>

Result language
angličtina
Original language name
How to Distinguish True Dependence from Varying Independence?
Original language description
A usual statistical criterion for the quantities X and Y to be independent is that the corresponding distribution function F(x, y) is equal to the product of the corresponding marginal distribution functions. If this equality is violated, this is usuallytaken to mean that X and Y are dependent. In practice, however, the inequality may be caused by the fact that we have a mixture of several populations, in each of which X and Y are independent. In this paper, we show how we can distinguish true dependence from such varying independence. This can also lead to new measures to degree of independence and of varying independence.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Project
<a href="/en/project/GPP202%2F10%2FP360" target="_blank" >GPP202/10/P360: Classification with use of formal concept analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Journal of Intelligent Technologies and Applied Statistics
ISSN
1998-5010
e-ISSN
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Volume of the periodical
6
Issue of the periodical within the volume
4
Country of publishing house
TW - TAIWAN (PROVINCE OF CHINA)
Number of pages
13
Pages from-to
339-351
UT code for WoS article
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EID of the result in the Scopus database
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