Time Domain Analysis

  • Ronald Christensen
Part of the Springer Texts in Statistics book series (STS)


In the frequency domain discussed in the previous chapter, a spectral approximation is used for an arbitrary second-order stationary time series ..., y -1, y 0, y 1,.... In the traditional approach, the variance components in the spectral approximation will be nonzero, thus there is little chance of developing a parsimonious model. (The model with measurement error is more promising in this regard.)


Akaike Information Criterion Kalman Filter Covariance Function ARIMA Model Time Domain Analysis 


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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Ronald Christensen
    • 1
  1. 1.Department of Mathematics and StatisticsUniversity of New MexicoAlbuquerqueUSA

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