scholarly journals BIVARIATE DYNAMIC CUMULATIVE RESIDUAL TSALLIS ENTROPY

2017 ◽  
Vol 35 (1_2) ◽  
pp. 45-58 ◽  
Author(s):  
MADAN MOHAN SATI ◽  
HARINDER SINGH
Entropy ◽  
2021 ◽  
Vol 24 (1) ◽  
pp. 9
Author(s):  
Muhammed Rasheed Irshad ◽  
Radhakumari Maya ◽  
Francesco Buono ◽  
Maria Longobardi

Tsallis introduced a non-logarithmic generalization of Shannon entropy, namely Tsallis entropy, which is non-extensive. Sati and Gupta proposed cumulative residual information based on this non-extensive entropy measure, namely cumulative residual Tsallis entropy (CRTE), and its dynamic version, namely dynamic cumulative residual Tsallis entropy (DCRTE). In the present paper, we propose non-parametric kernel type estimators for CRTE and DCRTE where the considered observations exhibit an ρ-mixing dependence condition. Asymptotic properties of the estimators were established under suitable regularity conditions. A numerical evaluation of the proposed estimator is exhibited and a Monte Carlo simulation study was carried out.


2018 ◽  
Vol 494 ◽  
pp. 410-421 ◽  
Author(s):  
S.M. Sunoj ◽  
Aswathy S. Krishnan ◽  
P.G. Sankaran

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Madan Mohan Sati ◽  
Nitin Gupta

We propose a generalized cumulative residual information measure based on Tsallis entropy and its dynamic version. We study the characterizations of the proposed information measure and define new classes of life distributions based on this measure. Some applications are provided in relation to weighted and equilibrium probability models. Finally the empirical cumulative Tsallis entropy is proposed to estimate the new information measure.


2020 ◽  
Vol 14 (4) ◽  
Author(s):  
David Chris Raju ◽  
S. M. Sunoj ◽  
G Rajesh

2020 ◽  
Vol 139 ◽  
pp. 110292
Author(s):  
Xuegeng Mao ◽  
Pengjian Shang ◽  
Jianing Wang ◽  
Yi Yin

ROBOT ◽  
2010 ◽  
Vol 32 (3) ◽  
pp. 289-297
Author(s):  
Xudong TANG ◽  
Yongjie PANG ◽  
Tiedong ZHANG ◽  
Ye LI

Sign in / Sign up

Export Citation Format

Share Document