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In: Statistics and Probability

Q5.LetX1,X2,···Xn be an independent random sample from a distribution with finite mean µ and finite variance...

Q5.LetX1,X2,···Xn be an independent random sample from a distribution with finite mean µ and finite variance σ2. An estimator of µ in the form L = c1X1 + c2X2 +···cnXn 2 is called a linear estimator,where c1,c2,··· ,cn are some known constants.If L is unbiased,then it is called a linear unbiased estimator.A linear unbiased estimator that has the minimum variance among all linear unbiased estimators is called the best linear unbiased estimator (BLUE). (i) Express E(L) and Var(L) in terms of µ, σ2 and c1,c2,··· ,cn; (ii) Show that the sample mean is the BLUE of µ.

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TOPIC:Best linear unbiased estimator(BLUE).


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