EconPapers    
Economics at your fingertips  
 

Strongly almost convergence in sequences of complex uncertain variables

Jagannath Nath, Binod Chandra Tripathy, Piyali Debnath and Baby Bhattacharya

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 3, 714-729

Abstract: The aim of this treatise is to introduce the concept of strongly almost convergence in complex uncertain sequences. Also, we investigate the strongly almost convergence in almost surely (in shortly a.s.), convergence in measure, convergence in mean, convergence in distribution and convergence in uniformly almost surely of complex uncertain sequences and study the relationships among them.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1921802 (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:3:p:714-729

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

DOI: 10.1080/03610926.2021.1921802

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 ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:52:y:2023:i:3:p:714-729