Convergence rates for the law of large numbers for arrays
Víctor Hernández and
Henar Urmeneta
Statistics & Probability Letters, 2006, vol. 76, issue 16, 1714-1722
Abstract:
We present Baum and Katz type moment conditions which characterize convergence rates for the laws of the large numbers for rowwise arrays. It considers arrays of rowwise independent, but not necessarily identically distributed random variables where each row regularly covers a random variable.
Keywords: Arrays; Regular; cover; Convergence; rates; Complete; convergence (search for similar items in EconPapers)
Date: 2006
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(06)00125-8
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:76:y:2006:i:16:p:1714-1722
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 ().