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Teoriya Veroyatnostei i ee Primeneniya, 1974, Volume 19, Issue 3, Pages 626–632 (Mi tvp2945)  

This article is cited in 1 scientific paper (total in 1 paper)

Short Communications

Estimations for quantiles in the central limit theorem

M. V. Khatuntseva

Moscow
Full-text PDF (367 kB) Citations (1)
Abstract: Let $F_n(x)$ be the distribution function of a normalized sum of $n$ independent indentically distributed random variables.
In the paper, estimations are obtained for the uniform deviation of the quantile $F_n^{-1}(y)$ from $\Phi^{-1}(y)$ in an interval $(a,b)$ with $a$ and $b$ tending to 0 and 1 respectively as fast as $\exp\{-kn^\alpha\}$, where $k>0$, $0<\alpha<1$.
For summands bounded by a constant $c$, explicit formulas are given showing how constants in the estimations obtained depend on the parameter $c/\sigma$, where $\sigma^2$ is the variance of each summand.
Received: 08.05.1974
English version:
Theory of Probability and its Applications, 1975, Volume 19, Issue 3, Pages 598–604
DOI: https://doi.org/10.1137/1119069
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: M. V. Khatuntseva, “Estimations for quantiles in the central limit theorem”, Teor. Veroyatnost. i Primenen., 19:3 (1974), 626–632; Theory Probab. Appl., 19:3 (1975), 598–604
Citation in format AMSBIB
\Bibitem{Kha74}
\by M.~V.~Khatuntseva
\paper Estimations for quantiles in the central limit theorem
\jour Teor. Veroyatnost. i Primenen.
\yr 1974
\vol 19
\issue 3
\pages 626--632
\mathnet{http://mi.mathnet.ru/tvp2945}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=356179}
\zmath{https://zbmath.org/?q=an:0326.60016}
\transl
\jour Theory Probab. Appl.
\yr 1975
\vol 19
\issue 3
\pages 598--604
\crossref{https://doi.org/10.1137/1119069}
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  • https://www.mathnet.ru/eng/tvp/v19/i3/p626
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Теория вероятностей и ее применения Theory of Probability and its Applications
     
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