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BANDWIDTH SELECTION IN NONPARAMETRIC SPECTRAL DENSITY ESTIMATION OF THE STATIONARY GAUSSIAN PROCESS

BANDWIDTH SELECTION IN NONPARAMETRIC SPECTRAL DENSITY ESTIMATION OF THE STATIONARY GAUSSIAN PROCESS
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摘要 We propose a method for estimating mean squared error and bandwidth in the windowedspectral density estimation of a stationary Gaussian process, and also provide a method forestimating the second order derivative of the spectral density function. The asymptotic propertiesand the convergence rates of the estimators are given. We propose a method for estimating mean squared error and bandwidth in the windowedspectral density estimation of a stationary Gaussian process, and also provide a method forestimating the second order derivative of the spectral density function. The asymptotic propertiesand the convergence rates of the estimators are given.
作者 于丹
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1996年第4期363-370,共8页 应用数学学报(英文版)
关键词 Stationary Gaussian process spectral density PERIODOGRAM windowed spectral estimate BANDWIDTH spectral window mean squared error Stationary Gaussian process, spectral density, periodogram, windowed spectral estimate, bandwidth, spectral window, mean squared error
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