EconPapers    
Economics at your fingertips  
 

A central limit theorem with random indices for stationary linear processes

Issa Fakhre-Zakeri and Jamshid Farshidi

Statistics & Probability Letters, 1993, vol. 17, issue 2, 91-95

Abstract: A central limit theorem with random indices is obtained for stationary linear process Xt - [mu] [Sigma][infinity]j = -[infinity]aj[epsilon]t - j, where {\Get} is an i.i.d. collection of random variables with E[sigma]t = 0, E[epsilon]2t = [sigma]2

Keywords: Central; limit; theorem; linear; process; random; indices; stationary (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(93)90002-Z
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:17:y:1993:i:2:p:91-95

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:17:y:1993:i:2:p:91-95