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Problems 177<br />

that the mean is known to be zero in writing down the latter equations, so that<br />

the sample autocovariances are ˆγ (h) 1<br />

n<br />

n−h<br />

t1 Xt+hXt for h ≥ 0.)<br />

5.11. Given two observations x1 and x2 from the causal AR(1) process satisfying<br />

Xt φXt−1 + Zt, {Zt} ∼WN 0,σ 2 ,<br />

and assuming that |x1| |x2|, find the maximum likelihood estimates of φ<br />

and σ 2 .<br />

5.12. Derive a cubic equation for the maximum likelihood estimate of the coefficient<br />

φ of a causal AR(1) process based on the observations X1,...,Xn.<br />

5.13. Use the result of Problem A.7 and the approximate large-sample normal distribution<br />

of the maximum likelihood estimator ˆφp to establish the approximation<br />

(5.5.1).

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