EconPapers    
Economics at your fingertips  
 

Asymptotic normality of U-statistics based on i.i.d. or negatively associated observations by utilizing Zolotarev’s ideal metric

Tasos C. Christofides and Charalambos Charalambous

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 12, 4083-4102

Abstract: In this paper we obtain the distance between U-statistics and a normal random variable by utilizing Zolotarev’s ideal metric. The results are for U-statistics based on i.i.d random variables as well as for U-statistics based on negatively associated random variables. Corresponding results are also investigated for the related class of von Mises statistics.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1986533 (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:12:p:4083-4102

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

DOI: 10.1080/03610926.2021.1986533

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:12:p:4083-4102