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ON SUFFICIENT CONDITIONS FOR SUBEXPONENTIALITY.

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Title: ON SUFFICIENT CONDITIONS FOR SUBEXPONENTIALITY.
Authors: NAGAEV, S. V. nagaevs@hotmail.com
Source: Theory of Probability & Its Applications. 2011, Vol. 55 Issue 1, p153-164. 12p.
Subjects: Distribution (Probability theory), Integral theorems, Probability theory, Standard deviations, Integrals
Abstract: The new sufficient conditions for subexponentiality are given, which are more general than those that are known at the present time. [ABSTRACT FROM AUTHOR]
Copyright of Theory of Probability & Its Applications is the property of Society for Industrial & Applied Mathematics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: The new sufficient conditions for subexponentiality are given, which are more general than those that are known at the present time. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Theory of Probability & Its Applications is the property of Society for Industrial & Applied Mathematics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1137/S0040585X97984711
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      – SubjectFull: Integral theorems
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      – SubjectFull: Probability theory
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      – SubjectFull: Standard deviations
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