Prove that the expected value of the estimate W n , that is, E{W n } =
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Prove that the expected value of the estimate W̃n, that is, E{W̃n} = n+1 θ. Such an estimate is called biased: its expected value is not equal to the parameter we are estimating. By what should we multiply W̃n for the new estimate, Ṽn, to have the following two properties: first, Ṽn is unbiased, that is, E{Ṽn} = θ; secondly, the convergence
still has an order of 1?
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