Let $X_1$ and $X_2$ i.i.d. Uniformly distributed over [$ \theta -\frac {1} {2},\theta +\frac {1} {2}] $ for an unknown $\theta$ in $\mathbb{R}$. Show that [min($ X_1,X_2$), max($ X_1,X_2$)] is 50% CI for $\theta$.
hint: u don’t have to calculate the distribution of $\min \left( X_{1},X_{2}\right) $ or $\max \left( X_{1},X_{2}\right) $
X1 ~ U (theta - 1/2, they +1/2)
X2~ U( theta - 1/2, theta +1/2)
We have to show that [min( X1, X2), max(X1, X2)] is 50% CI for theta
Let, theta = 1
Then,
CI = [1-1/2,1+1/2]=[1/2,3/2]
So here if you see lower limit it is 1/2 so, theta - 1/2=1-1/2=1/2 which is differ by 1/2 = 50%
It can be generalised to other values of theta also.
Hence, [min(X1, X2) ,max(X1,X2)] is 50 % CI for theta.
Let $X_1$ and $X_2$ i.i.d. Uniformly distributed over [$ \theta -\frac {1} {2},\theta +\frac {1} {2}]...
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