EconPapers    
Economics at your fingertips  
 

Moderate deviations for some nonparametric estimators with errors in variables

Shoujiang Zhao and Qiaojing Liu

Statistics & Probability Letters, 2012, vol. 82, issue 6, 1175-1184

Abstract: We study moderate deviations of some nonparametric estimators with ordinary smooth measurement errors. The moderate deviation principles for the kernel estimators of regression functions and conditional distribution functions are obtained.

Keywords: Moderate deviations; Errors in variables; Regression function; Conditional distribution function (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715212000624
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:82:y:2012:i:6:p:1175-1184

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.2012.02.015

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:82:y:2012:i:6:p:1175-1184