Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Mar 23;24(4):444.
doi: 10.3390/e24040444.

A Generalized Measure of Cumulative Residual Entropy

Affiliations

A Generalized Measure of Cumulative Residual Entropy

Sudheesh Kumar Kattumannil et al. Entropy (Basel). .

Abstract

In this work, we introduce a generalized measure of cumulative residual entropy and study its properties. We show that several existing measures of entropy, such as cumulative residual entropy, weighted cumulative residual entropy and cumulative residual Tsallis entropy, are all special cases of this generalized cumulative residual entropy. We also propose a measure of generalized cumulative entropy, which includes cumulative entropy, weighted cumulative entropy and cumulative Tsallis entropy as special cases. We discuss a generating function approach, using which we derive different entropy measures. We provide residual and cumulative versions of Sharma-Taneja-Mittal entropy and obtain them as special cases this generalized measure of entropy. Finally, using the newly introduced entropy measures, we establish some relationships between entropy and extropy measures.

Keywords: Tsallis entropy; cumulative entropy; cumulative residual entropy; extropy; weighted cumulative residual entropy.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

References

    1. Shannon C.E. A mathematical theory of communication. Bell Syst. Tech. J. 1948;27:379–423. doi: 10.1002/j.1538-7305.1948.tb01338.x. - DOI
    1. Rao M., Chen Y., Vemuri B., Wang F. Cumulative residual entropy: A new measure of information. IEEE Trans. Inf. Theory. 2004;50:1220–1228. doi: 10.1109/TIT.2004.828057. - DOI
    1. Di Crescenzo A., Longobardi M. On cumulative entropies. J. Stat. Plan. Inference. 2009;139:4072–4087. doi: 10.1016/j.jspi.2009.05.038. - DOI
    1. Mirali M., Baratpour S., Fakoor V. On weighted cumulative residual entropy. Commun. Stat.-Theory Methods. 2016;46:2857–2869. doi: 10.1080/03610926.2015.1053932. - DOI
    1. Mirali M., Baratpour S. Some results on weighted cumulative entropy. J. Iran. Stat. Soc. 2017;16:21–32.

LinkOut - more resources