EconPapers    
Economics at your fingertips  
 

The distribution of the 'finitely many times' in the strong law of large numbers

Dieudonné Razanadrakoto and Norman C. Severo

Statistics & Probability Letters, 1986, vol. 4, issue 4, 179-182

Abstract: Consider independent, identically distributed random variables X1, X2,... with common mean [mu]. Let Sn = [Sigma]1nX1. and for [var epsilon] > 0 let N([var epsilon]) count the number of values of n for which n-1Sn - [mu] > [var epsilon]. This note discusses the distribution of N([var epsilon]), thereby elucidating the fluctuations associated with the Strong Law of Large Numbers.

Keywords: Strong; Law; of; Large; Numbers; fluctuation; theory (search for similar items in EconPapers)
Date: 1986
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(86)90062-3
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:4:y:1986:i:4:p:179-182

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:4:y:1986:i:4:p:179-182