This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Notes on Pearson residuals and weighted likelihood estimating equations

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Agostinelli, Claudio

Additional information is available for the following registered author(s):

Abstract

In these notes we show that the Pearson residuals (PR) [Lindsay, B.G., 1994. Efficiency versus robustness: the case for minimum Hellinger distance and related methods. Ann. Statist. 22, 1018-1114.] have a natural asymptotic lower bound under the gross error model which can be used in the problem of choosing a root when multiple roots are present in the weighted likelihood estimating equations. Further, we show through an example how the minimum of the PR plays an important role in the robust estimation approach based on weighted likelihood.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6V1D-4K4PVVB-1/2/9ec2510dc4318eb76df2354f1ba8343a
File Format:
File Function:
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Elsevier in its journal Statistics & Probability Letters.

Volume (Year): 76 (2006)
Issue (Month): 17 (November)
Pages: 1930-1934
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:eee:stapro:v:76:y:2006:i:17:p:1930-1934

Contact details of provider:
Web page: http://www.elsevier.com/wps/find/journaldescription.cws_home/622892/description#description

Order Information:
Postal: http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
Web: https://shop.elsevier.com/order?id=505573&ref=505573_01_ooc_1&version=01

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
Keywords: Pearson residuals Weighted likelihood estimating equations;

Statistics
Access and download statistics

Did you know? IDEAS was launched in September 1997.

This page was last updated on 2009-11-7.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.