EconPapers    
Economics at your fingertips  
 

Asymptotic results for FGM random sequences

Enkelejd Hashorva

Statistics & Probability Letters, 2001, vol. 54, issue 4, 417-425

Abstract: Let {Xn, n[greater-or-equal, slanted]1} be a centered FGM random sequence and put . Motivated by the dependence structure of FGM distributions (see, e.g. Johnson and Kotz, Comm. Statist. 4 (1977) 415) we derive almost sure and max-limit almost sure convergence for and Mn, respectively.

Keywords: Farlie-Gumbel-Morgenstern; distribution; Farlie-Gumbel-Morgenstern; random; sequences; Almost; sure; convergence; Max-limit; almost; sure; convergence (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(01)00120-1
Full text for ScienceDirect subscribers only

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:eee:stapro:v:54:y:2001:i:4:p:417-425

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul

More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:stapro:v:54:y:2001:i:4:p:417-425