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Q27Section A (Section A)27 of 60

The estimator that is not an MLE

Let X1,X2,…,XnX_{1},X_{2},…,X_{n} be a random sample from U(θ−0.5,θ+0.5)U(\theta-0.5,\theta+0.5) distribution, where θ∈R\theta\in\mathbb{R}. If X(1)=min⁡{X1,X2,…,Xn}X_{(1)}=\min\{X_{1},X_{2},…,X_{n}\} and X(n)=max⁡{X1,X2,…,Xn}X_{(n)}=\max\{X_{1},X_{2},…,X_{n}\}, then which one of the following estimators is NOT a maximum likelihood estimator of θ\theta?

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