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Approximate Maximum Likelihood Estimation of a Step Function Spectral Density.

机译:阶跃函数谱密度的近似极大似然估计。

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Approximate maximum likelihood estimates are obtained for the ordinates of a step function spectra density in the Gaussian case. The estimates are simply integral averages of the periodogram over the frequency bands in which the density is constant. Whittle's form of the approximate likelihood is used. Results are given for scalar and vector processes. (Author)

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