Under the assumptions outlined in Theorem 10.11, show that Rao's efficient score statistic, which is given by
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Under the assumptions outlined in Theorem 10.11, show that Rao's efficient score statistic, which is given by \(Q=n^{-1} U_{n}^{2}\left(\theta_{0}ight) I^{-1}\left(\theta_{0}ight)\) has an asymptotic ChiSquared \(\left[1, \delta^{2} I\left(\theta_{0}ight)ight]\) distribution under the sequence of alternative hypothesis \(\left\{\theta_{1, n}ight\}_{n=1}^{\infty}\) where \(\theta_{1, n}=\theta_{0}+n^{-1 / 2} \delta\).
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