In Example D of Section 8.4, the method of moments

Chapter , Problem 13

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QUESTION:

In Example D of Section 8.4, the method of moments estimate was found to be \(\hat{\alpha}=3 \bar{X}\). In this problem, you will consider the sampling distribution of \(\hat{\alpha}\).

a. Show that \(E(\hat{\alpha})=\alpha\)- that is, that the estimate is unbiased.

b. Show that \(\operatorname{Var}(\hat{\alpha})=\left(3-\alpha^{2}\right) / n\). [Hint: What is \(\operatorname{Var}(\bar{X})\)?]

c. Use the central limit theorem to deduce a normal approximation to the sampling distribution of \(\hat{\alpha}\). According to this approximation, if n = 25 and \(\alpha=0\), what is the \(P(|\hat{\alpha}|>.5)\)?

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QUESTION:

In Example D of Section 8.4, the method of moments estimate was found to be \(\hat{\alpha}=3 \bar{X}\). In this problem, you will consider the sampling distribution of \(\hat{\alpha}\).

a. Show that \(E(\hat{\alpha})=\alpha\)- that is, that the estimate is unbiased.

b. Show that \(\operatorname{Var}(\hat{\alpha})=\left(3-\alpha^{2}\right) / n\). [Hint: What is \(\operatorname{Var}(\bar{X})\)?]

c. Use the central limit theorem to deduce a normal approximation to the sampling distribution of \(\hat{\alpha}\). According to this approximation, if n = 25 and \(\alpha=0\), what is the \(P(|\hat{\alpha}|>.5)\)?

ANSWER:

Step 1 of 4

Given:

An i.i.d. sample of random variables   has the following density function:

                                                 

It is given that  .

 

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