activity
20072021
most citedOn Weighted Residual and Past Entropies

42 citations · 113 across the 13 of their papers we have counts for

collaborators

17 papers

physics.soc-ph2021★ 4 cited

Informal Science Education and Career Advancement

Michael Smith, Claudia Fracchiolla, Sean Fleming +9

This document supports a proposed APS statement that encourages academic, research, and other institutions to add the participation in informal science education activities to the…

math.PR2021★ 9 cited

Interval extropy and weighted interval extropy

Francesco Buono, Osman Kamari, Maria Longobardi

Recently, Extropy was introduced by Lad, Sanfilippo and Agrò as a complement dual of Shannon Entropy. In this paper, we propose dynamic versions of Extropy for doubly truncated ran…

math.PR2021

Dispersion indices based on Kerridge inaccuracy and Kullback-Leibler divergence

Francesco Buono, Camilla Calì, Maria Longobardi

The concept of varentropy has been recently introduced as a dispersion index of the reliability of measure of information. In this paper, we introduce new measures of variability f…

cs.IT2021★ 41 cited

On cumulative residual (past) inaccuracy for truncated random variables

Chanchal Kundu, Antonio Di Crescenzo, Maria Longobardi

To overcome the drawbacks of Shannon's entropy, the concept of cumulative residual and past entropy has been proposed in the information theoretic literature. Furthermore, the Shan…

math.PR2021

On Tsallis extropy with an application to pattern recognition

Narayanaswamy Balakrishnan, Francesco Buono, Maria Longobardi

Recently, a new measure of information called extropy has been introduced by Lad, Sanfilippo and Agrò as the dual version of Shannon entropy. In the literature, Tsallis introduced…

math.PR2021

Asymptotic results for linear combinations of spacings generated by i.i.d. exponential random variables

Camilla Calì, Maria Longobardi, Claudio Macci +1

We prove large (and moderate) deviations for a class of linear combinations of spacings generated by i.i.d. exponentially distributed random variables. We allow a wide class of coe…