On Weighted Generalized Residual Information Measure

Please use this identifier to cite or link to this item: http://dspace.chitkarauniversity.edu.in/xmlui/handle/123456789/513

Full metadata record

DC Field	Value	Language
dc.contributor.author	Kumar, Ashok	-
dc.contributor.author	Taneja, H C	-
dc.contributor.author	Chitkara, Ashok K	-
dc.contributor.author	Kumar, Vikas	-
dc.date.accessioned	2022-06-11T06:13:27Z	-
dc.date.available	2022-06-11T06:13:27Z	-
dc.date.issued	2015-09-30	-
dc.identifier.issn	2278-9561	-
dc.identifier.issn	2278-957X	-
dc.identifier.uri	http://dspace.chitkarauniversity.edu.in/xmlui/handle/123456789/513	-
dc.description.abstract	In this paper, we have proposed the concept of weighted generalized residual entropy of order α and type β, and have shown that the proposed measure characterizes the distribution function uniquely.	en_US
dc.language.iso	en	en_US
dc.relation.ispartofseries	;CHAENG/2013/49583	-
dc.subject	Shannon Entropy	en_US
dc.subject	Residual Entropy	en_US
dc.title	On Weighted Generalized Residual Information Measure	en_US
dc.type	Article	en_US
Appears in Collections:	Vol. 4 No. 1 (2015)

Files in This Item:

File	Description	Size	Format
96-Article Text-208-1-10-20190530.pdf		331.53 kB	Adobe PDF	View/Open