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Identification of moving average process with infinite variance
- Source :
-
Statistics & Probability Letters . Aug2007, Vol. 77 Issue 14, p1490-1496. 7p. - Publication Year :
- 2007
-
Abstract
- Abstract: In the traditional Box–Jenkins modelling procedure, we use the sample autocorrelation function as a tool for identifying the plausible models for empirical data. In this paper, we consider the sample normalized codifference as a new tool for the preliminary order identification of moving average process with infinite variance. From simulation studies, we find that the proposed method may perform as well as the Rosenfeld''s [1976. Identification of time series with infinite variance. Appl. Statist. 25, 147–153.] method. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 01677152
- Volume :
- 77
- Issue :
- 14
- Database :
- Academic Search Index
- Journal :
- Statistics & Probability Letters
- Publication Type :
- Periodical
- Accession number :
- 26036155
- Full Text :
- https://doi.org/10.1016/j.spl.2007.02.014