Under the assumptions outlined in Theorem 10.11, show that Wald's statistic, (Q=nleft(hat{theta}_{n}-theta_{0}ight) Ileft(hat{theta}_{n}ight)), has an asymptotic ChiSquared

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Under the assumptions outlined in Theorem 10.11, show that Wald's statistic, \(Q=n\left(\hat{\theta}_{n}-\theta_{0}ight) I\left(\hat{\theta}_{n}ight)\), has an asymptotic ChiSquared \(\left[1, \delta^{2} I\left(\theta_{0}ight)ight]\) distribution under the sequence of alternative hypotheses \(\left\{\theta_{1, n}ight\}_{n=1}^{\infty}\) where \(\theta_{1, n}=\theta_{0}+n^{-1 / 2} \delta\).

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