EconPapers    
Economics at your fingertips  
 

Local linear estimate of the nonparametric robust regression in functional data

Faiza Belarbi, Souheyla Chemikh and Ali Laksaci

Statistics & Probability Letters, 2018, vol. 134, issue C, 128-133

Abstract: In this paper, we study the robust estimation of the functional local linear regression model. The main results of this work are the establishment of the almost complete convergence as well as the asymptotic normality for the constructed estimator.

Keywords: Functional data analysis; Local linear method; Robust estimation; Asymptotic normality; Almost complete convergence (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715217303498
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:134:y:2018:i:c:p:128-133

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.2017.11.003

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:134:y:2018:i:c:p:128-133