Frequency Domain Identification of Time Series Models
This paper develops a frequency domain procedure for identification of time series models. The approach is similar to Tintner's variate difference technique for determining the degree of a polynomial by repeated differencing. Unlike conventional procedures, it can identifying mixed processes and multivariate time series models with correlated inputs.
Year of publication: |
1982
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Authors: | Sampson, Michael J. |
Institutions: | Economics Department, Queen's University |
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