The rate of convergence to the normal law in terms of pseudomoments

We establish the rate of convergence of distributions of sums of independent identically distributed random variables to the Gaussian distribution in terms of truncated pseudomoments by implementing the idea of Yu. Studnyev for getting estimates of the rate of convergence of the order higher than ${...

Full description

Bibliographic Details
Main Authors: Yuliya Mishura, Yevheniya Munchak, Petro Slyusarchuk
Format: Article
Language:English
Published: VTeX 2015-04-01
Series:Modern Stochastics: Theory and Applications
Subjects:
Online Access:https://vmsta.vtex.vmt/doi/10.15559/15-VMSTA23
_version_ 1811196472603967488
author Yuliya Mishura
Yevheniya Munchak
Petro Slyusarchuk
author_facet Yuliya Mishura
Yevheniya Munchak
Petro Slyusarchuk
author_sort Yuliya Mishura
collection DOAJ
description We establish the rate of convergence of distributions of sums of independent identically distributed random variables to the Gaussian distribution in terms of truncated pseudomoments by implementing the idea of Yu. Studnyev for getting estimates of the rate of convergence of the order higher than ${n}^{-1/2}$.
first_indexed 2024-04-12T00:59:23Z
format Article
id doaj.art-c250f735254341be9a73ecd52c9cb0a8
institution Directory Open Access Journal
issn 2351-6046
2351-6054
language English
last_indexed 2024-04-12T00:59:23Z
publishDate 2015-04-01
publisher VTeX
record_format Article
series Modern Stochastics: Theory and Applications
spelling doaj.art-c250f735254341be9a73ecd52c9cb0a82022-12-22T03:54:31ZengVTeXModern Stochastics: Theory and Applications2351-60462351-60542015-04-01229510610.15559/15-VMSTA23The rate of convergence to the normal law in terms of pseudomomentsYuliya Mishura0Yevheniya Munchak1Petro Slyusarchuk2Taras Shevchenko National University of Kyiv, Volodymyrska str. 64, 01601, Kyiv, UkraineTaras Shevchenko National University of Kyiv, Volodymyrska str. 64, 01601, Kyiv, UkraineUzhhorod National University, Pidhirna str. 46, 88000, Uzhhorod, UkraineWe establish the rate of convergence of distributions of sums of independent identically distributed random variables to the Gaussian distribution in terms of truncated pseudomoments by implementing the idea of Yu. Studnyev for getting estimates of the rate of convergence of the order higher than ${n}^{-1/2}$.https://vmsta.vtex.vmt/doi/10.15559/15-VMSTA23Rate of convergencetruncated pseudomomentsGaussian distribution
spellingShingle Yuliya Mishura
Yevheniya Munchak
Petro Slyusarchuk
The rate of convergence to the normal law in terms of pseudomoments
Modern Stochastics: Theory and Applications
Rate of convergence
truncated pseudomoments
Gaussian distribution
title The rate of convergence to the normal law in terms of pseudomoments
title_full The rate of convergence to the normal law in terms of pseudomoments
title_fullStr The rate of convergence to the normal law in terms of pseudomoments
title_full_unstemmed The rate of convergence to the normal law in terms of pseudomoments
title_short The rate of convergence to the normal law in terms of pseudomoments
title_sort rate of convergence to the normal law in terms of pseudomoments
topic Rate of convergence
truncated pseudomoments
Gaussian distribution
url https://vmsta.vtex.vmt/doi/10.15559/15-VMSTA23
work_keys_str_mv AT yuliyamishura therateofconvergencetothenormallawintermsofpseudomoments
AT yevheniyamunchak therateofconvergencetothenormallawintermsofpseudomoments
AT petroslyusarchuk therateofconvergencetothenormallawintermsofpseudomoments
AT yuliyamishura rateofconvergencetothenormallawintermsofpseudomoments
AT yevheniyamunchak rateofconvergencetothenormallawintermsofpseudomoments
AT petroslyusarchuk rateofconvergencetothenormallawintermsofpseudomoments