04.01.2013 Views

Springer - Read

Springer - Read

Springer - Read

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Figure 6-15<br />

The ACF of the model<br />

6.5 Seasonal ARIMA Models 205<br />

ACF<br />

-0.5 0.0 0.5 1.0<br />

Xt Ut − 0.4Ut−12<br />

0 10 20 30 40 50 60<br />

of Example 6.5.2. Lag<br />

Figure 6-16<br />

The ACF of the model<br />

for different months are uncorrelated. A graph of the autocorrelation function of this<br />

process is shown in Figure 6.16.<br />

In each of the Examples 6.5.1, 6.5.2, and 6.5.3, the 12 series corresponding to the<br />

different months are uncorrelated. To incorporate dependence between these series<br />

ACF<br />

-0.5 0.0 0.5 1.0<br />

Xt − 0.7Xt−12 Ut<br />

0 10 20 30 40 50 60<br />

of Example 6.5.3. Lag

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!