On μ– statistical uniform convergence and Dini’s theorem

Mustafa Gülfırat

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 21, 7744-7751

Abstract: The present paper aims to study the uniform convergence of a sequence of functions via the μ− statistical uniform convergence where μ is a finitely additive set function defined on a field of subsets of positive integers. In particular we deal with an analog of Dini’s theorem. It turns out that μ− statistical uniform convergence of a sequence of functions is characterized by that of another decreasing sequence of functions.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2022.2059684 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:52:y:2023:i:21:p:7744-7751

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2022.2059684

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().