Impact of the periodicity and trend on the FD parameter estimation
Författare
Summary, in English
It is well known that one of the features of long-memory processes is that they tend to have what looks like trends and cycles. A consequence of this property is that it is difficult to distinguish a long-memory process from a nonstationary process. In this paper, we study the impact of the periodicity and trend on different methods for estimating the long-memory processes parameter d.
Avdelning/ar
Publiceringsår
2007
Språk
Engelska
Sidor
79-87
Publikation/Tidskrift/Serie
Journal of Statistical Computation and Simulation
Volym
77
Issue
1
Dokumenttyp
Artikel i tidskrift
Förlag
Taylor & Francis
Ämne
- Probability Theory and Statistics
Nyckelord
- discrete wavelet transform
- periodicity
- trend
- long-memory
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1563-5163