On Parametric Generalization of ‘Useful’ R-norm Information Measure

Hooda, D. S. and Upadhyay, Keerti and Sharma, D. K. (2015) On Parametric Generalization of ‘Useful’ R-norm Information Measure. British Journal of Mathematics & Computer Science, 8 (1). pp. 1-15. ISSN 22310851

[thumbnail of Upadhyay812014BJMCS14791.pdf] Text
Upadhyay812014BJMCS14791.pdf - Published Version

Download (715kB)

Abstract

In the literature of information measure, there exist many well known parametric generalized information measures with their merits and limitations. In the present paper a ‘useful’ R-norm information measure of type and degree is introduce and characterized axiomatically. This new measure is parametric generalization of ‘useful’ R-norm information measures introduced and characterized by the authors earlier refer to Hooda et al. [11]. Properties of the new generalized ‘useful’ R-norm information measure of type and degree have also been studied. The new measure has been applied in studying the lower and upper bounds of a generalized ‘useful’ R-norm mean codeword length.

Item Type: Article
Subjects: EP Archives > Mathematical Science
Depositing User: Managing Editor
Date Deposited: 16 Jun 2023 03:32
Last Modified: 17 Jan 2024 03:57
URI: http://research.send4journal.com/id/eprint/2329

Actions (login required)

View Item
View Item