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Consistent and asymptotically normal estimators for cyclically time-dependent linear models

  • Department of Mathematics
  • Univ. Mentouri de Constantine
  • Université du Littoral Côte d'Opale

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)41-68
Number of pages28
JournalAnnals of the Institute of Statistical Mathematics
Volume55
Issue number1
DOIs
Publication statusPublished - 21 Jul 2003
Externally publishedYes

Keywords

  • Asymptotic normality
  • Consistency
  • Nonstationary processes
  • Quasi-generalized least squares estimator
  • Time varying models

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