Results on Varextropy Measure of Random Variables
In 2015, Lad, Sanfilippo and Agrò proposed an alternative measure of uncertainty dual to the entropy known as extropy. This paper provides some results on a dispersion measure of extropy of random variables which is called varextropy and studies several properties of this concept. Especially, the va...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/3/356 |
id |
doaj-f58df0c11b8e4d7b869d9f3662e6203b |
---|---|
record_format |
Article |
spelling |
doaj-f58df0c11b8e4d7b869d9f3662e6203b2021-03-18T00:02:51ZengMDPI AGEntropy1099-43002021-03-012335635610.3390/e23030356Results on Varextropy Measure of Random VariablesNastaran Marzban Vaselabadi0Saeid Tahmasebi1Mohammad Reza Kazemi2Francesco Buono3Department of Statistics, Persian Gulf University, Bushehr 7516913817, IranDepartment of Statistics, Persian Gulf University, Bushehr 7516913817, IranDepartment of Statistics, Faculty of Science, Fasa University, Fasa 7461686131, IranDipartimento di Matematica e Applicazioni “Renato Caccioppoli”, Università degli Studi di Napoli Federico II, I-80126 Naples, ItalyIn 2015, Lad, Sanfilippo and Agrò proposed an alternative measure of uncertainty dual to the entropy known as extropy. This paper provides some results on a dispersion measure of extropy of random variables which is called varextropy and studies several properties of this concept. Especially, the varextropy measure of residual and past lifetimes, order statistics, record values and proportional hazard rate models are discussed. Moreover, the conditional varextropy is considered and some properties of this measure are studied. Finally, a new stochastic comparison method, named varextropy ordering, is introduced and some of its properties are presented.https://www.mdpi.com/1099-4300/23/3/356extropyuncertaintyvarextropyresidual lifetime |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nastaran Marzban Vaselabadi Saeid Tahmasebi Mohammad Reza Kazemi Francesco Buono |
spellingShingle |
Nastaran Marzban Vaselabadi Saeid Tahmasebi Mohammad Reza Kazemi Francesco Buono Results on Varextropy Measure of Random Variables Entropy extropy uncertainty varextropy residual lifetime |
author_facet |
Nastaran Marzban Vaselabadi Saeid Tahmasebi Mohammad Reza Kazemi Francesco Buono |
author_sort |
Nastaran Marzban Vaselabadi |
title |
Results on Varextropy Measure of Random Variables |
title_short |
Results on Varextropy Measure of Random Variables |
title_full |
Results on Varextropy Measure of Random Variables |
title_fullStr |
Results on Varextropy Measure of Random Variables |
title_full_unstemmed |
Results on Varextropy Measure of Random Variables |
title_sort |
results on varextropy measure of random variables |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2021-03-01 |
description |
In 2015, Lad, Sanfilippo and Agrò proposed an alternative measure of uncertainty dual to the entropy known as extropy. This paper provides some results on a dispersion measure of extropy of random variables which is called varextropy and studies several properties of this concept. Especially, the varextropy measure of residual and past lifetimes, order statistics, record values and proportional hazard rate models are discussed. Moreover, the conditional varextropy is considered and some properties of this measure are studied. Finally, a new stochastic comparison method, named varextropy ordering, is introduced and some of its properties are presented. |
topic |
extropy uncertainty varextropy residual lifetime |
url |
https://www.mdpi.com/1099-4300/23/3/356 |
work_keys_str_mv |
AT nastaranmarzbanvaselabadi resultsonvarextropymeasureofrandomvariables AT saeidtahmasebi resultsonvarextropymeasureofrandomvariables AT mohammadrezakazemi resultsonvarextropymeasureofrandomvariables AT francescobuono resultsonvarextropymeasureofrandomvariables |
_version_ |
1724218010696155136 |