On the convergence rate of fixed design regression estimators for negatively associated random variables
Wentao Gu,
George G. Roussas and
Lanh T. Tran
Statistics & Probability Letters, 2007, vol. 77, issue 12, 1214-1224
Abstract:
Sharp convergence rates for fixed design regression estimators for negatively associated random variables are established. The rates are obtained by means of exponential inequalities, which hold under general conditions.
Keywords: Fixed; design; Negatively; associated; Regression; Kernel; function (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(07)00086-7
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:77:y:2007:i:12:p:1214-1224
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 ().