Unbiased estimator of uniform distribution
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Let xixi be iid observations in a sample from a uniform distribution over [0,θ][0,θ]. Now I need to estimate θθ based on NN observations and I want the estimator to be unbiased.
I thought about simple estimator θ^=max(xi)θ^=max(xi).
Based on simulation it is not biased, yet I couldn't show it analytically.
Could anyone, please, show it is unbiased?
BTW, I could easily find another, easy to prove, unbiased estimator, θ^=2mean(xi)
I hope help u
I thought about simple estimator θ^=max(xi)θ^=max(xi).
Based on simulation it is not biased, yet I couldn't show it analytically.
Could anyone, please, show it is unbiased?
BTW, I could easily find another, easy to prove, unbiased estimator, θ^=2mean(xi)
I hope help u
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