Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/64831
DC FieldValueLanguage
dc.contributor應數系en_US
dc.contributorWu, Berlinen_US
dc.creatorKrmelova, Marketaen_US
dc.creator吳柏林zh_TW
dc.creatorTrnecka, Martinen_US
dc.creatorKreinovich, Vladiken_US
dc.date2013.12en_US
dc.date.accessioned2014-03-21T10:02:16Z-
dc.date.available2014-03-21T10:02:16Z-
dc.date.issued2014-03-21T10:02:16Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/64831-
dc.description.abstractA 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.en_US
dc.format.extent98812 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen_US-
dc.relationInternational Journal of Intelligent Technologies and Applied Statistics, 6(4), 339-352en_US
dc.titleHow to Distinguish True Dependence from Varyingen_US
dc.typearticleen
dc.identifier.doi10.6148/IJITAS.2013.0604.02-
dc.doi.urihttp://dx.doi.org/10.6148/IJITAS.2013.0604.02-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextrestricted-
item.openairetypearticle-
item.languageiso639-1en_US-
Appears in Collections:期刊論文
Files in This Item:
File Description SizeFormat
339352.pdf96.5 kBAdobe PDF2View/Open
Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.