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34 Chapter 1 Introduction<br />

Figure 1-26<br />

The differenced series<br />

{∇12xt ,t 13,...,72}<br />

derived from the monthly<br />

accidental deaths<br />

{xt ,t 1,...,72}.<br />

Figure 1-27<br />

The differenced series<br />

{∇∇12xt ,t 14,...,72}<br />

derived from the monthly<br />

accidental deaths<br />

{xt ,t 1,...,72}.<br />

(thousands)<br />

-1.0 -0.5 0.0 0.5<br />

1974 1975 1976 1977 1978 1979<br />

of ∇∇12xt, 14≤ t ≤ 72, shown in Figure 1.27, which has no apparent trend or seasonal<br />

component. In Chapter 5 we shall show that this doubly differenced series can<br />

in fact be well represented by a stationary time series model.<br />

In this section we have discussed a variety of methods for estimating and/or<br />

removing trend and seasonality. The particular method chosen for any given data<br />

set will depend on a number of factors including whether or not estimates of the<br />

-500 0 500 1000<br />

1974 1975 1976 1977 1978 1979

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