How to Distinguish True Dependence from Varying

Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/64831

Title:	How to Distinguish True Dependence from Varying
Authors:	Krmelova, Marketa 吳柏林 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 link:	http://dx.doi.org/10.6148/IJITAS.2013.0604.02
Appears in Collections:	[Department of Mathematical Sciences] Periodical Articles

Files in This Item:

File	Description	Size	Format
339352.pdf		96Kb	Adobe PDF	1075	View/Open