The complete moment convergence for independent and non identically distributed random fields with different powers for different coordinates

Mi-Hwa Ko

Communications in Statistics - Theory and Methods, 2025, vol. 54, issue 14, 4564-4574

Abstract: In this article, we establish the complete moment convergence for independent and non identically distributed random fields such that different indices have different powers in the normalization. The result generalizes the complete convergence for a field of independent random variables, weakly upper bounded by a random variable to the case of complete moment convergence.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2024.2424456 (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:54:y:2025:i:14:p:4564-4574

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

DOI: 10.1080/03610926.2024.2424456

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 ().