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136 Chapter 4 Spectral Analysis<br />

4.9. The spectral density of a real-valued time series {Xt} is defined on [0,π]by<br />

<br />

100, if π/6 − .01 1. Define ˜φ(B) 1 − 1<br />

φ B and ˜θ(B) 1 + 1<br />

B and let<br />

θ<br />

{Wt} be the process given by<br />

Wt : ˜θ −1 (B) ˜φ(B)Xt.<br />

a. Show that {Wt} has a constant spectral density function.<br />

b. Conclude that {Wt} ∼WN 0,σ2 <br />

2<br />

w . Give an explicit formula for σw in terms<br />

of φ,θ, and σ 2 .<br />

c. Deduce that ˜φ(B)Xt ˜θ(B)Wt, so that {Xt} is a causal and invertible<br />

ARMA(1,1) process relative to the white noise sequence {Wt}.

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