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Biometrika 1969 56(2):375-390; doi:10.1093/biomet/56.2.375
© 1969 by Biometrika Trust
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Asymptotic properties of spectral estimates of second order

DAVID R. BRILLINGER

London School of Economics and Political Science

Let X(t) (t = 0, ± 1,...) be a zero mean, r vector-valued, strictly stationary time series satisfying a particular assumption about the near-independence of widely separated values. Given the values X(t) (t = 0, 1,..., T– 1), we construct the statistics: I(T)/XX({gamma})(-{infty}{lambda}lt;{infty}),the matrix of second-order periodograms, FT/XX({lambda}),the matrix of sample spectral measures, fT/XX({lambda}), the matrix of sample spectral densities and c(T)/(u) (u = 0,± 1,...), the matrix of sample covariances. In the paper expressions are derived for the first- and second-order moments and the asymptotic distributions of IT/XX({lambda}), F(T)/XX({lambda}), f(T)/XX({lambda}) and c(T)/XX(u). Our purpose is to determine the form of these moments and to indicate the appearance of the Wishart distribution as an exact limiting distribution for f(T)/XX({lambda}). It has previously been suggested as an approximation.


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