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  3. we have a one parameter statistical model. probabi

We have a one parameter statistical model. Probability model: {f(x;θ)=x/(2θ^2), θ>0 and x is an element of...

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Statistics

We have a one parameter statistical model.

Probability model: {f(x;θ)=x/(2θ^2), θ>0 and x is an elementof (0, θ].

Sampling model:X=(X1,...Xn) is random.

By stating likelihood and log likelihood functions, calculatethe maximum likelihood estimator of θ. Differentiation can't beused to solve this problem.

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