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Mathematics
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Mathematics
Article . 2023
Data sources: DOAJ
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Product Convolution of Generalized Subexponential Distributions

Authors: Gustas Mikutavičius; Jonas Šiaulys;

Product Convolution of Generalized Subexponential Distributions

Abstract

Assume that ξ and η are two independent random variables with distribution functions Fξ and Fη, respectively. The distribution of a random variable ξη, denoted by Fξ⊗Fη, is called the product-convolution of Fξ and Fη. It is proved that Fξ⊗Fη is a generalized subexponential distribution if Fξ belongs to the class of generalized subexponential distributions and η is nonnegative and not degenerated at zero.

Country
Lithuania
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Keywords

tail function; closure property; product-convolution; generalized subexponential distribution; heavy-tailed distribution, closure property, QA1-939, generalized subexponential distribution, product-convolution, tail function, heavy-tailed distribution, Tail function, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold