Please use this identifier to cite or link to this item:
|Title:||How to Distinguish True Dependence from Varying|
|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|
|Appears in Collections:||[Department of Mathematical Sciences] Periodical Articles|
Files in This Item:
All items in 學術集成 are protected by copyright, with all rights reserved.