Abstract
Let Xt = ∑ j = -∞ ∞ ψjZt-j be a discrete time moving average process based on i.i.d. symmetric random variables {Zt} with a common distribution function from the domain of normal attraction of a p-stable law (0 < p < 2). We derive the limit distribution of the normalized periodogram In,X(λ) = |n -1 p ∑ t = 1 n Xt e-itλ|2, -π ≤ λ ≤ π. This generalizes the classical result for p = 2. In contrast to the classical case, for values 0 < λ1 < ⋯ < λm < π the periodogram ordinates In, X(λi), i = 1, ..., m, are not asymptotically independent.
Original language | English |
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Pages (from-to) | 323-344 |
Number of pages | 22 |
Journal | Stochastic Processes and their Applications |
Volume | 47 |
Issue number | 2 |
DOIs | |
State | Published - Sep 1993 |
Externally published | Yes |
Keywords
- characteristic function
- general linear model
- moving average processes
- periodogram
- spectral estimate
- spectral measure
- stable laws
- stable processes