Abstract
Abstract. The problem is that of determining the parameters in a trigonometric polynomial when it is observed with added stationary noise. The frequencies, in particular, must be determined and the situation especially considered is that where these are close together. A similar problem arises if an angular frequency is close to zero or π. The method of estimation is the maximization of the regression sum of squares as a function of the unknown frequencies. In the asymptotic theory, the closely adjacent frequencies are separated by an amount that is of the order T‐1, where T is the length of the series. Simulations show that this asymptotic treatment gives a better approximation in cases where the separation is of this magnitude than that obtained by treating the frequencies as fixed.
| Original language | English |
|---|---|
| Pages (from-to) | 13-31 |
| Number of pages | 19 |
| Journal | Journal of Time Series Analysis |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1989 |
| Externally published | Yes |
Keywords
- frequency estimation
- maximum entropy
- regularity
- spectral line
- Trigonometric regression
- weak mixing
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