EconPapers    
Economics at your fingertips  
 

Berry-Esseen bounds for wavelet estimator in a regression model with linear process errors

Yongming Li, Chengdong Wei and Guodong Xing

Statistics & Probability Letters, 2011, vol. 81, issue 1, 103-110

Abstract: In this paper, we derive the Berry-Esseen bounds of the wavelet estimator for a nonparametric regression model with linear process errors generated by [phi]-mixing sequences. As application, by the suitable choice of some constants, the convergence rate O(n-1/6) of uniformly asymptotic normality of the wavelet estimator is obtained. Our results generalize some known results in the literature.

Keywords: Wavelet; estimator; Berry-Esseen; bound; Linear; process; [phi]-mixing (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(10)00274-9
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:81:y:2011:i:1:p:103-110

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:81:y:2011:i:1:p:103-110