EconPapers    
Economics at your fingertips  
 

On the law of large numbers for discrete Fourier transform

Na Zhang

Statistics & Probability Letters, 2017, vol. 120, issue C, 101-107

Abstract: We shall establish the law of large numbers for the discrete Fourier transform of random variables with finite first moment under condition P(|Xn|>x)≤P(|X1|>x) for all x≥0; for 1x)≤MP(|X1|>x) for all x≥0 and some positive constant M.

Keywords: Law of large numbers; Discrete Fourier transform; Rate of convergence (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715216301821
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:120:y:2017:i:c:p:101-107

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

DOI: 10.1016/j.spl.2016.09.018

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:120:y:2017:i:c:p:101-107