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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Afyon Kocatepe Ünive...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Afyon Kocatepe Üniversitesi Açık Erişim Sistemi
Article . 2026
Data sources: Afyon Kocatepe Üniversitesi Açık Erişim Sistemi
Claim

STATISTICAL EPI-CONVERGENCE IN SEQUENCES OF FUNCTIONS

descriptionPublicationkeyboard_double_arrow_right Article 12 Jan 2026 Turkey English Publisher:Univ Prishtines
Authors: Sever, Yurdal; Talo, Ozer; Tortop, Sukru;

handle: 11630/21546

STATISTICAL EPI-CONVERGENCE IN SEQUENCES OF FUNCTIONS

Abstract

In this paper, statistical epi-limit is defined by using epigraphs in order to increase sensitivity by eliminating outliers for mathematical problems. Various characterizations of statistical epi-convergence and their relations are given and it is compared with statistical convergence. Also, its connections with level sets and monotone increasing or decreasing cases are studied. Moreover, statistical equi-lower semicontinuity and its relation with statistical epi-limit is examined.

Country
Turkey
Related Organizations
Keywords

lower semicontinuity, statistical epi-convergence, epigraphs, epi-convergence

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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!
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