Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Quasi-Likelihood Estimation for ARCH models

Authors
김삼용
Issue Date
Sep-2005
Publisher
한국데이터정보과학회
Keywords
ARCH; MLE; Quasi-Likelihood Function
Citation
한국데이터정보과학회지, v.16, no.3, pp 651 - 656
Pages
6
Journal Title
한국데이터정보과학회지
Volume
16
Number
3
Start Page
651
End Page
656
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/29561
ISSN
1598-9402
Abstract
In this paper, the quasi-likelihood function was proposed and the estimators which are the solutions of the estimating equations for estimation of a class of nonlinear time series models. We compare the performances of the proposed estimators with those of the ML estimators under the heavy-railed distributions by simulation.
Files in This Item
Appears in
Collections
College of Business & Economics > Department of Applied Statistics > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Sahm Yong photo

Kim, Sahm Yong
대학원 (통계데이터사이언스학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE