Abstract

Entropy measures are fundamental tool in information theory and various areas of sciences. We establish various lower bounds to the cumulative residual entropy and cumulative entropy based on Gini’s mean difference. Applying new results on upper bounds in Balakrishnan, Buono, and Longobardi (2022), we obtain sharper upper bounds for the cumulative residual entropy and cumulative entropy. New generalized cumulative residual entropy and cumulative entropy are also proposed.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.