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Modeling and Multivariate Methods - SAS

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Chapter 14 Performing Time Series Analysis 357<br />

Time Series Comm<strong>and</strong>s<br />

AR Coefficients<br />

The AR Coefficients comm<strong>and</strong> alternately displays or hides the graph of the least squares estimates of the<br />

autoregressive (AR) coefficients. The definition of these coefficients is given below. These coefficients<br />

approximate those that you would obtain from fitting a high-order, purely autoregressive model. The<br />

right-h<strong>and</strong> graph in Figure 14.4 shows the AR coefficients for the Seriesg data.<br />

Figure 14.4 Variogram Graph (left) <strong>and</strong> AR Coefficient Graph (right)<br />

Spectral Density<br />

The Spectral Density comm<strong>and</strong> alternately displays or hides the graphs of the spectral density as a function<br />

of period <strong>and</strong> frequency (Figure 14.5).<br />

The least squares estimates of the coefficients of the Fourier series<br />

<strong>and</strong><br />

N<br />

2<br />

a t<br />

= --- y<br />

N<br />

t<br />

cos( 2πf i<br />

t)<br />

i = 1<br />

N<br />

2<br />

b t<br />

= --- y<br />

N t<br />

sin( 2πf i<br />

t)<br />

i = 1

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