On the asymptotic behavior of sums of pairwise independent random variables
Juan Antonio Cuesta and
Carlos Matrán
Statistics & Probability Letters, 1991, vol. 11, issue 3, 201-210
Abstract:
The work is devoted to analyzing, from the asymptotic point of view, some examples of sequences of pairwise independent identically distributed random variables. Special attention is paid to the case of stationary sequences by the consideration of different situations that can arise in connection with the most relevant asymptotic results in probability and statistics: zero-one law of Kolmogorov, strong law of large numbers, central limit theorem, law of iterated logarithm and exponential bounds.
Keywords: Pairwise; independence; stationary; sequences; central; limit; theorem; law; of; iterated; logarithm; Kolmogorov; zero-one; law; exponential; bound (search for similar items in EconPapers)
Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(91)90144-G
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:11:y:1991:i:3:p:201-210
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 ().