Time series in the frequency domain /

Guardado en:
Otros Autores: Brillinger, David R. (Editor ), Krishnaiah, Paruchuri R. (Editor )
Formato: Libro
Idioma:English
Publicado: Amsterdam ; New York : New York : North-Holland ; Sole distributors for the U.S.A. and Canada, Elsevier Science, 1983.
Series:Handbook of statistics ; v. 3
Materias:
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Tabla de Contenidos:
  • R. J. Bhansali and D. Karavellas, Wiener filtering (with emphasis on frequency-domain approaches)
  • David R. Brillinger, The finite Fourier transform of a stationary process
  • William S. Cleveland, Seasonal and calendar adjustment
  • Robert B. Davies, Optimal inference in the frequency domain
  • C. W. J. Granger and Robert Engle, Applications of spectral analysis in econometrics
  • E. J. Hannan, Signal estimation
  • T. Hasan, Complex demodulation: some theory and applications
  • Melvin J. Hinich, Estimating the gain of a linear filter from noisy data
  • L. H. Koopmans, A spectral analysis primer
  • R. Douglas Martin, Robust-resistant spectral analysis
  • Emanuel Parzen, Autoregressive spectral estimation
  • J. Pemberton and H. Tong [Howell Tong], Threshold autoregression and some frequency-domain characteristics
  • M. B. Priestley, The frequency-domain approach to the analysis of closed-loop systems
  • T. Subba Rao, The bispectral analysis of nonlinear stationary time series with reference to bilinear time-series models
  • Enders A. Robinson, Frequency-domain analysis of multidimensional time-series data
  • P. M. Robinson, Review of various approaches to power spectrum estimation
  • M. Rosenblatt, Cumulants and cumulant spectra
  • R. H. Shumway, Replicated time-series regression: an approach to signal estimation and detection
  • Tony Thrall, Computer programming of spectrum estimation
  • P. R. Krishnaiah, J. C. Lee [Jack Chao-sheng Lee] and T. C. Chang, Likelihood ratio tests on covariance matrices and mean vectors of complex multivariate normal populations and their applications in time series.