Convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables

The series $\sum\nolimits_{n \geqslant 1} {\tau _n P(|S_n | \geqslant \varepsilon n^a )}$ is studied, where $S_n$ are the sums of independent equally distributed random variables, $τ_n$ is a sequence of nonnegative numbers, $α > 0$, and $ɛ > 0$ is an arbitrary positive number. For...

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Збережено в:
Бібліографічні деталі
Дата:1993
Автори: Klesov, O. I., Клесов, О. И.
Формат: Стаття
Мова:Російська
Англійська
Опубліковано: Institute of Mathematics, NAS of Ukraine 1993
Онлайн доступ:https://umj.imath.kiev.ua/index.php/umj/article/view/5866
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Назва журналу:Ukrains’kyi Matematychnyi Zhurnal
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Ukrains’kyi Matematychnyi Zhurnal
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author Klesov, O. I.
Клесов, О. И.
Клесов, О. И.
author_facet Klesov, O. I.
Клесов, О. И.
Клесов, О. И.
author_sort Klesov, O. I.
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collection OJS
datestamp_date 2020-03-19T09:19:41Z
description The series $\sum\nolimits_{n \geqslant 1} {\tau _n P(|S_n | \geqslant \varepsilon n^a )}$ is studied, where $S_n$ are the sums of independent equally distributed random variables, $τ_n$ is a sequence of nonnegative numbers, $α > 0$, and $ɛ > 0$ is an arbitrary positive number. For a broad class of sequences $τ_n$, the necessary and sufficient conditions are established for the convergence of this series for any $ɛ > 0$.
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spelling umjimathkievua-article-58662020-03-19T09:19:41Z Convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables Сходимость рядов из вероятностей больших уклонений сумм независимых одинаково распределенных случайных величин Klesov, O. I. Клесов, О. И. Клесов, О. И. The series $\sum\nolimits_{n \geqslant 1} {\tau _n P(|S_n | \geqslant \varepsilon n^a )}$ is studied, where $S_n$ are the sums of independent equally distributed random variables, $τ_n$ is a sequence of nonnegative numbers, $α > 0$, and $ɛ > 0$ is an arbitrary positive number. For a broad class of sequences $τ_n$, the necessary and sufficient conditions are established for the convergence of this series for any $ɛ > 0$. Вивчаються ряди $\sum\nolimits_{n \geqslant 1} {\tau _n P(|S_n | \geqslant \varepsilon n^a )}$, де $S_n$ - це суми незалежних однаково розподілених випадкових величин, $τ_n$ - довільна послідовність додатних чисел, $ α> 0, ɛ > 0$ - довільне додатне число. Для широкого класу послідовностей $τ_n$ знайдені необхідні та достатні умови збіжності для будь-якого $ɛ > 0$. цього ряду. Institute of Mathematics, NAS of Ukraine 1993-06-25 Article Article application/pdf https://umj.imath.kiev.ua/index.php/umj/article/view/5866 Ukrains’kyi Matematychnyi Zhurnal; Vol. 45 No. 6 (1993); 770–784 Український математичний журнал; Том 45 № 6 (1993); 770–784 1027-3190 rus en https://umj.imath.kiev.ua/index.php/umj/article/view/5866/8415 https://umj.imath.kiev.ua/index.php/umj/article/view/5866/8416 Copyright (c) 1993 Klesov O. I.
spellingShingle Klesov, O. I.
Клесов, О. И.
Клесов, О. И.
Convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables
title Convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables
title_alt Сходимость рядов из вероятностей больших уклонений сумм независимых одинаково распределенных случайных величин
title_full Convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables
title_fullStr Convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables
title_full_unstemmed Convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables
title_short Convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables
title_sort convergence of the series of large-deviation probabilities for sums of independent equally distributed random variables
url https://umj.imath.kiev.ua/index.php/umj/article/view/5866
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