Asymptotic statistical properties of spectral estimates with different tapers for discrete time processes
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摘要
This paper concerns the problem of estimating the spectral density, spectral distribution and autocovariance functions on non-overlapped and overlapped intervals for a discrete parameter stationary time series with different tapers. Also, we obtain another estimate of spectral density function via different weight functions. Asymptotic statistical properties of these estimates and their limits will be considered.
论文关键词:Discrete time stationary processes,Data tapers,Finite Fourier transform,Overlapped and non-overlapped intervals,Spectral estimates,Spectral smoothing
论文评审过程:Available online 15 May 2003.
论文官网地址:https://doi.org/10.1016/S0096-3003(03)00299-6