arXiv:1508.02832 [math.PR]AbstractReferencesReviewsResources
The rate of convergence to the normal law in terms of pseudomoments
Yuliya Mishura, Yevheniya Munchak, Petro Slyusarchuk
Published 2015-08-12Version 1
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 $n^{-1/2}$.
Comments: Published at http://dx.doi.org/10.15559/15-VMSTA23 in the Modern Stochastics: Theory and Applications (https://www.i-journals.org/vtxpp/VMSTA) by VTeX (http://www.vtex.lt/)
Journal: Modern Stochastics: Theory and Applications 2015, Vol. 2, No. 2, 95-106
DOI: 10.15559/15-VMSTA23
Categories: math.PR
Keywords: normal law, convergence, independent identically distributed random variables, order higher, gaussian distribution
Tags: journal article
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