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5.3.12. Let X1, X2, ..., Xn be a random sample from a Poisson distribution with mean u. Thus, Y = {i=1 X; has a Poisson distr

Please explain how the answer below was found...no other way please...i dont understand how this solution was found!! thank you

u(X) = v(x) = u(x) + u()(x), var[u(x)] [u(x))?(M/n) = C, (1) C/A, a solution is u() = c2V. Taking C2 = 1, we have u(x) = VX

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Answer #1

u(Y/n)=\sqrt{Y}/n=(1/\sqrt{n})(\sqrt{Y}/\sqrt{n})=(1/\sqrt{n})(\sqrt{Y/n})

u(k)=\sqrt{k/n}

var(u(k))=[u'(\mu)]^2*\sigma^2

where, \mu=E(k), \sigma^2=var(k)

u'(k)=1/2\sqrt{kn}, [u'(k)]^2=1/4kn

put k = Y/n, E(Y/n) = \mu , V(Y/n) = \mu /n

var(u(Y/n))=(1/4\mu n)*(\mu/n)=1/4n^2

which is independent of \mu

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