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Q18Section A (Section A)18 of 60

Maximum likelihood estimate of the square of a location parameter

Let x1=1.1x_1=1.1, x2=0.5x_2=0.5, x3=1.4x_3=1.4, x4=1.2x_4=1.2 be the observed values of a random sample of size four from a distribution with the probability density function

f(x∣θ)={eθ−x,x≥θ, 0,otherwise,θ∈(−∞,∞).f(x|\theta)=\begin{cases}e^{\theta-x}, & x\ge\theta,\ 0, & \text{otherwise,}\end{cases}\quad\theta\in(-\infty,\infty).

Then the maximum likelihood estimate of θ2\theta^2 is

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