•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Normal mixture quasi maximum likelihood estimation for non stationary TGARCH(1,1) models

Author:
Wang, Hui - Pan, Jiazhu
Publisher:
Elsevier Science
Year
: 2014
DOI: 10.1016/j.spl.2014.03.027
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/932882
Keyword(s): Non,NM,Consistency
Collections :
  • Latin Articles
  • Show Full MetaData Hide Full MetaData
  • Statistics

    Normal mixture quasi maximum likelihood estimation for non stationary TGARCH(1,1) models

Show full item record

contributor authorWang, Hui - Pan, Jiazhu
date accessioned2020-03-12T16:46:45Z
date available2020-03-12T16:46:45Z
date issued2014
identifier issn0167-7152
identifier other10.1016-j.spl.2014.03.027.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/932882?locale-attribute=en
formatgeneral
languageEnglish
publisherElsevier Science
titleNormal mixture quasi maximum likelihood estimation for non stationary TGARCH(1,1) models
typeJournal Paper
contenttypeMetadata Only
identifier padid7680368
subject keywordsNon
subject keywordsNM
subject keywordsConsistency
identifier doi10.1016/j.spl.2014.03.027
journal titleStatistics & Probability Letters
journal volume91
journal issue0
filesize385064
citations0
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace