Standard

Converses to the Csörgo-Révész laws. / Frolov, Andrei N.

в: Statistics and Probability Letters, Том 72, № 2, 15.04.2005, стр. 113-123.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Frolov, AN 2005, 'Converses to the Csörgo-Révész laws', Statistics and Probability Letters, Том. 72, № 2, стр. 113-123. https://doi.org/10.1016/j.spl.2004.12.010

APA

Frolov, A. N. (2005). Converses to the Csörgo-Révész laws. Statistics and Probability Letters, 72(2), 113-123. https://doi.org/10.1016/j.spl.2004.12.010

Vancouver

Frolov AN. Converses to the Csörgo-Révész laws. Statistics and Probability Letters. 2005 Апр. 15;72(2):113-123. https://doi.org/10.1016/j.spl.2004.12.010

Author

Frolov, Andrei N. / Converses to the Csörgo-Révész laws. в: Statistics and Probability Letters. 2005 ; Том 72, № 2. стр. 113-123.

BibTeX

@article{145dea0842334919a4d3902044783b51,
title = "Converses to the Cs{\"o}rgo-R{\'e}v{\'e}sz laws",
abstract = "We obtain converses to the one-sided strong laws for large increment of sums of independent identically distributed (i.i.d.) random variables with a distribution from the domain of attraction of a normal law or a completely asymmetric stable law with index α ∈ (1,2).",
keywords = "Cs{\"o}rgo-R{\'e}v{\'e}sz laws, Erdos-R{\'e}nyi law, Increments of sums of independent random variables, Large increments, Law of the iterated logarithm, One-sided strong laws, Strong approximation laws",
author = "Frolov, {Andrei N.}",
note = "Copyright: Copyright 2005 Elsevier B.V., All rights reserved.",
year = "2005",
month = apr,
day = "15",
doi = "10.1016/j.spl.2004.12.010",
language = "English",
volume = "72",
pages = "113--123",
journal = "Statistics and Probability Letters",
issn = "0167-7152",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - Converses to the Csörgo-Révész laws

AU - Frolov, Andrei N.

N1 - Copyright: Copyright 2005 Elsevier B.V., All rights reserved.

PY - 2005/4/15

Y1 - 2005/4/15

N2 - We obtain converses to the one-sided strong laws for large increment of sums of independent identically distributed (i.i.d.) random variables with a distribution from the domain of attraction of a normal law or a completely asymmetric stable law with index α ∈ (1,2).

AB - We obtain converses to the one-sided strong laws for large increment of sums of independent identically distributed (i.i.d.) random variables with a distribution from the domain of attraction of a normal law or a completely asymmetric stable law with index α ∈ (1,2).

KW - Csörgo-Révész laws

KW - Erdos-Rényi law

KW - Increments of sums of independent random variables

KW - Large increments

KW - Law of the iterated logarithm

KW - One-sided strong laws

KW - Strong approximation laws

UR - http://www.scopus.com/inward/record.url?scp=15844405049&partnerID=8YFLogxK

U2 - 10.1016/j.spl.2004.12.010

DO - 10.1016/j.spl.2004.12.010

M3 - Article

AN - SCOPUS:15844405049

VL - 72

SP - 113

EP - 123

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

SN - 0167-7152

IS - 2

ER -

ID: 75021826