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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/64831
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/64831

    Title: How to Distinguish True Dependence from Varying
    Authors: Krmelova, Marketa
    Trnecka, Martin
    Kreinovich, Vladik
    Contributors: 應數系
    Wu, Berlin
    Date: 2013.12
    Issue Date: 2014-03-21 18:02:16 (UTC+8)
    Abstract: 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 usually taken 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.
    Relation: International Journal of Intelligent Technologies and Applied Statistics, 6(4), 339-352
    Data Type: article
    DOI 連結: http://dx.doi.org/10.6148/IJITAS.2013.0604.02
    DOI: 10.6148/IJITAS.2013.0604.02
    Appears in Collections:[應用數學系] 期刊論文

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