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Problem 3: Suppose X1, X2, is a sequence of i.i.d. random variables having the Poisson distribution with mean λ. Let A,-X, (a
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Answer:

Given that:

Suppose X1, X2,... is a sequence of i.i.d random variables having the Poisson distribution with mean =\lambda

To solve the question considering Xn as an order statistic, we need to know the total number of X's

(a)

E(\hat{\lambda}_n)=E(X_n)=\lambda

Thus \hat{\lambda}_n is an unbiased estimator of \lambda

(b)

To check consistency we find the Mean Square Error(MSE) of the estimator. Since the estimator is unbiased, the MSE is equal to the Variance of the estimator. Thus

MSE(\hat{\lambda}_n) = Var(\hat{\lambda}_n)

=Var(X_n)

=\lambda

Since, MSE doesnot approach zero as n approaches infinity, the estimator is not consistent.

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