A Closed-form Expression for the Variance of Truncated Distribution and its Uses

This work sheds some light on the relationship between a distribution's standard deviation and its range, a topic that has been discussed extensively in the literature. While many previous studies have proposed inequalities or relationships that depend on the shape of the population distributi...

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Main Authors: Roberto Vila, Narayanaswamy Balakrishnan, Raul Matsushita
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2025-08-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/625
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author Roberto Vila
Narayanaswamy Balakrishnan
Raul Matsushita
author_facet Roberto Vila
Narayanaswamy Balakrishnan
Raul Matsushita
author_sort Roberto Vila
collection DOAJ
description This work sheds some light on the relationship between a distribution's standard deviation and its range, a topic that has been discussed extensively in the literature. While many previous studies have proposed inequalities or relationships that depend on the shape of the population distribution, the approach here is built on a family of bounded probability distributions based on skewing functions. We offer closed-form expressions for its moments and the asymptotic behavior as the support's semi-range tends to zero and infinite. We also establish an inequality in which the well-known Popoviciu's one is a special case. Finally, we provide an example using US dollar prices in four different currencies traded on foreign exchange markets to illustrate the results developed here.
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publisher Instituto Nacional de Estatística | Statistics Portugal
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series Revstat Statistical Journal
spelling doaj-art-6fa0dd60690049f8afcdaa73002113812025-08-20T03:59:31ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712025-08-0123310.57805/revstat.v23i3.625A Closed-form Expression for the Variance of Truncated Distribution and its UsesRoberto Vila0https://orcid.org/0000-0003-1073-0114Narayanaswamy Balakrishnan 1https://orcid.org/0000-0001-5842-8892Raul Matsushita 2https://orcid.org/0000-0001-8864-6356University of BrasíliaMcMaster UniversityUniversity of Brasília This work sheds some light on the relationship between a distribution's standard deviation and its range, a topic that has been discussed extensively in the literature. While many previous studies have proposed inequalities or relationships that depend on the shape of the population distribution, the approach here is built on a family of bounded probability distributions based on skewing functions. We offer closed-form expressions for its moments and the asymptotic behavior as the support's semi-range tends to zero and infinite. We also establish an inequality in which the well-known Popoviciu's one is a special case. Finally, we provide an example using US dollar prices in four different currencies traded on foreign exchange markets to illustrate the results developed here. https://revstat.ine.pt/index.php/REVSTAT/article/view/625truncated distributionskewing functionPopoviciu's inequality
spellingShingle Roberto Vila
Narayanaswamy Balakrishnan
Raul Matsushita
A Closed-form Expression for the Variance of Truncated Distribution and its Uses
Revstat Statistical Journal
truncated distribution
skewing function
Popoviciu's inequality
title A Closed-form Expression for the Variance of Truncated Distribution and its Uses
title_full A Closed-form Expression for the Variance of Truncated Distribution and its Uses
title_fullStr A Closed-form Expression for the Variance of Truncated Distribution and its Uses
title_full_unstemmed A Closed-form Expression for the Variance of Truncated Distribution and its Uses
title_short A Closed-form Expression for the Variance of Truncated Distribution and its Uses
title_sort closed form expression for the variance of truncated distribution and its uses
topic truncated distribution
skewing function
Popoviciu's inequality
url https://revstat.ine.pt/index.php/REVSTAT/article/view/625
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