On the stability of one characterization of the stable distributions

As early as 1923, Georg P6lya wrote: ``The Gaussian error law possesses the property that it remains valid under a linear combination of errors. The Gaussian error law can be characterized by this property to some extent – it is the only law that admits steadiness with respect to linear combination...

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Main Authors: Olga Yanushkevichiene, Romanas Yanushkevichius
Format: Article
Language:English
Published: Vilnius University Press 2001-12-01
Series:Lietuvos Matematikos Rinkinys
Online Access:https://www.zurnalai.vu.lt/LMR/article/view/34743
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author Olga Yanushkevichiene
Romanas Yanushkevichius
author_facet Olga Yanushkevichiene
Romanas Yanushkevichius
author_sort Olga Yanushkevichiene
collection DOAJ
description As early as 1923, Georg P6lya wrote: ``The Gaussian error law possesses the property that it remains valid under a linear combination of errors. The Gaussian error law can be characterized by this property to some extent – it is the only law that admits steadiness with respect to linear combinations of errors''. The idea of using linear combinations of random variables to cha­racterize the stable distributions has been extended by P. Levy. We investigate the stability of this characterization.
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institution Kabale University
issn 0132-2818
2335-898X
language English
publishDate 2001-12-01
publisher Vilnius University Press
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series Lietuvos Matematikos Rinkinys
spelling doaj-art-37176eb8d2734ab0aa242111b6d0e4922025-02-11T18:14:04ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2001-12-0141spec.10.15388/LMR.2001.34743On the stability of one characterization of the stable distributionsOlga Yanushkevichiene0Romanas Yanushkevichius1Institute of Mathematics and InformaticsInstitute of Mathematics and Informatics As early as 1923, Georg P6lya wrote: ``The Gaussian error law possesses the property that it remains valid under a linear combination of errors. The Gaussian error law can be characterized by this property to some extent – it is the only law that admits steadiness with respect to linear combinations of errors''. The idea of using linear combinations of random variables to cha­racterize the stable distributions has been extended by P. Levy. We investigate the stability of this characterization. https://www.zurnalai.vu.lt/LMR/article/view/34743
spellingShingle Olga Yanushkevichiene
Romanas Yanushkevichius
On the stability of one characterization of the stable distributions
Lietuvos Matematikos Rinkinys
title On the stability of one characterization of the stable distributions
title_full On the stability of one characterization of the stable distributions
title_fullStr On the stability of one characterization of the stable distributions
title_full_unstemmed On the stability of one characterization of the stable distributions
title_short On the stability of one characterization of the stable distributions
title_sort on the stability of one characterization of the stable distributions
url https://www.zurnalai.vu.lt/LMR/article/view/34743
work_keys_str_mv AT olgayanushkevichiene onthestabilityofonecharacterizationofthestabledistributions
AT romanasyanushkevichius onthestabilityofonecharacterizationofthestabledistributions