Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/64831
題名: How to Distinguish True Dependence from Varying
作者: Krmelova, Marketa
吳柏林
Trnecka, Martin
Kreinovich, Vladik
貢獻者: 應數系
Wu, Berlin
日期: 2013
上傳時間: 21-三月-2014
摘要: 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.
關聯: International Journal of Intelligent Technologies and Applied Statistics, 6(4), 339-352
資料類型: article
DOI: http://dx.doi.org/10.6148/IJITAS.2013.0604.02
Appears in Collections:期刊論文

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