Let Y be the random variable described in Example 5.2.3, where fY (y, ) = e (y)

Let Y be the random variable described in Example 5.2.3, where fY (y, θ) = e^−(y−θ), y ≥ θ, θ > 0. Show that Y_min – 1/n is an unbiased estimator of θ.