EconPapers    
Economics at your fingertips  
 

Resistant estimators for stationary ergodic stochastic processes

Mario Antonio Gneri

Statistics & Probability Letters, 2003, vol. 64, issue 1, 97-103

Abstract: We show the equivalence between the Boente et al. concepts of weak and strong resistance for estimators invariant under permutations in the case of discrete time stationary ergodic stochastic processes depending on a finite-dimensional real parameter.

Keywords: Qualitative; robustness; Stationary; ergodic; processes (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(03)00144-5
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:64:y:2003:i:1:p:97-103

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:64:y:2003:i:1:p:97-103