Under the assumptions outlined in Theorem 10.11, show that Wald's statistic, which is given by \(Q=n\left(\hat{\theta}_{n}-\theta_{0}ight) I\left(\hat{\theta}_{n}ight)\) where \(I\left(\hat{\theta}_{n}ight)\) denotes the Fisher information number evaluated at the maximum likelihood statistics \(\hat{\theta}_{n}\), has an asymptotic ChISquared(1) distribution under the null hypothesis \(H_{0}: \theta=\theta_{0}\).

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Theorem 10.11. Suppose that X1,..., Xn is a set of independent and iden- tically distributed random variables from a distribution F(x|0) with density f(x0), where 0 has parameter space . Suppose that the conditions of The- orem 10.5 hold, then, under the null hypothesis Ho: 000, An X as no where X has CHISQUARED(1) distribution. =