POWER GENERALIZATION OF CHEBYSHEV’S INEQUALITY – MULTIVARIATE CASE
Budny Katarzyna ()
Additional contact information
Budny Katarzyna: Department of Mathematics, Cracow University of Economics, Cracow, Poland .
Statistics in Transition New Series, 2019, vol. 20, issue 3, 155-170
Abstract:
In the paper some multivariate power generalizations of Chebyshev’s inequality and their improvements will be presented with extension to a random vector with singular covariance matrix. Moreover, for these generalizations, the cases of the multivariate normal and the multivariate t distributions will be considered. Additionally, some financial application will be presented.
Keywords: multivariate Chebyshev’s inequality; Mahalanobis distance; multivariate normal distribution; multivariate t distribution. (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.21307/stattrans-2019-029 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:20:y:2019:i:3:p:155-170:n:1
DOI: 10.21307/stattrans-2019-029
Access Statistics for this article
Statistics in Transition New Series is currently edited by Włodzimierz Okrasa
More articles in Statistics in Transition New Series from Statistics Poland
Bibliographic data for series maintained by Peter Golla ().