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Texas A&M University Department of Statistics

Time Series Analysis Papers by Emanuel Parzen

These technical reports are formatted in PDF format. Adobe Acrobat 3 or later is required to view them. A free Adobe Acrobat viewer for Windows, Macs and many flavors of Unix can be downloaded from the Adobe web site.
  1. On Asymptotically Efficient Consistent Estimates of the Spectral Density Function of a Stationaty Time Series
  2. Regression Analysis of Continuous Parameter Time Series
  3. An Approach to Empirical Time Series Analysis
  4. Statistical Inference on Time Series by Hilbert Space Methods
  5. Probability Density Functionals and Reproducing Kernel Hilbert Spaces
  6. A New Approach to the Synthesis of Optimal Smoothing and Prediction Systems
  7. On Spectral Analysis with Missing Observations and Amplitude Modulation
  8. Spectral Analysis of Asymptotically Stationary Time Series
  9. On Models for the Probability of Fatigue Failure of a Structure

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