首页 | 本学科首页   官方微博 | 高级检索  
     


Consistent and asymptotically normal estimators for cyclically time-dependent linear models
Authors:Abdelouahab Bibi  Christian Francq
Affiliation:1.Département de Mathématiques,Université Mentouri de Constantine,Constantine,Algérie;2.LMPA Joseph Liouville, Centre Universitaire de la Mi-Voix,Université du Littoral-C?te d’Opale,Calais Cedex,France
Abstract:
We consider a general class of time series linear models where parameters switch according to a known fixed calendar. These parameters are estimated by means of quasi-generalized least squares estimators. conditions for strong consistency and asymptotic normality are given. Applications to cyclical ARMA models with non constant periods are considered.
Keywords:Time varying models  nonstationary processes  quasi-generalized least squares estimator  consistency  asymptotic normality
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号