Dynamic cumulative residual Renyi’s entropy


Autoria(s): Sunoj, S M; Linu, M N
Data(s)

25/07/2014

25/07/2014

02/05/2010

Resumo

Recently, cumulative residual entropy (CRE) has been found to be a new measure of information that parallels Shannon’s entropy (see Rao et al. [Cumulative residual entropy: A new measure of information, IEEE Trans. Inform. Theory. 50(6) (2004), pp. 1220–1228] and Asadi and Zohrevand [On the dynamic cumulative residual entropy, J. Stat. Plann. Inference 137 (2007), pp. 1931–1941]). Motivated by this finding, in this paper, we introduce a generalized measure of it, namely cumulative residual Renyi’s entropy, and study its properties.We also examine it in relation to some applied problems such as weighted and equilibrium models. Finally, we extend this measure into the bivariate set-up and prove certain characterizing relationships to identify different bivariate lifetime models

Statistics, Vol. 46, No. 1, February 2012, 41–56

Cochin University of Science and Technology

Identificador

http://dyuthi.cusat.ac.in/purl/4281

Idioma(s)

en

Publicador

Taylor & Francis

Palavras-Chave #cumulative residual entropy #Renyi’s entropy #weighted distributions #characterization
Tipo

Article