EconPapers    
Economics at your fingertips  
 

Moment estimation in a semiparametric generalized linear model

Xueqin Wang and Hanxiang Peng

Statistics & Probability Letters, 2008, vol. 78, issue 12, 1624-1633

Abstract: In this article, we propose to estimate the regression parameters in a semiparametric generalized linear model by moment estimating equations. These estimators are shown to be consistent and asymptotically normal. We present two estimators of the nonparametric part, provide conditions for the existence and uniform consistency, and obtain faster rates of convergence under weaker assumptions.

Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(08)00021-7
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:78:y:2008:i:12:p:1624-1633

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:78:y:2008:i:12:p:1624-1633