Power means of random variables and characterizations of distributions via fractional calculus

Fuente: arXiv
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Auteurs principaux: Okamura, Kazuki, Otobe, Yoshiki
Format: Preprint
Publié: 2023
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author Okamura, Kazuki
Otobe, Yoshiki
author_facet Okamura, Kazuki
Otobe, Yoshiki
contents We investigate fractional moments and expectations of power means of complex-valued random variables by using fractional calculus. We deal with both negative and positive orders of the fractional derivatives. The one-dimensional distributions are characterized in terms of the fractional moments without any moment assumptions. We explicitly compute the expectations of the power means for both the univariate Cauchy distribution and the Poincaré distribution on the upper-half plane. We show that for these distributions the expectations are invariant with respect to the sample size and the value of the power.
format Preprint
id arxiv_https___arxiv_org_abs_2312_02698
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Power means of random variables and characterizations of distributions via fractional calculus
Okamura, Kazuki
Otobe, Yoshiki
Probability
60E10, 62E10, 26A33
We investigate fractional moments and expectations of power means of complex-valued random variables by using fractional calculus. We deal with both negative and positive orders of the fractional derivatives. The one-dimensional distributions are characterized in terms of the fractional moments without any moment assumptions. We explicitly compute the expectations of the power means for both the univariate Cauchy distribution and the Poincaré distribution on the upper-half plane. We show that for these distributions the expectations are invariant with respect to the sample size and the value of the power.
title Power means of random variables and characterizations of distributions via fractional calculus
topic Probability
60E10, 62E10, 26A33
url https://arxiv.org/abs/2312.02698