Chapter 5: Problem 8
Let \(Z_{n}\) be \(\chi^{2}(n)\) and let \(W_{n}=Z_{n} / n^{2}\). Find the limiting distribution of \(W_{n}\).
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Chapter 5: Problem 8
Let \(Z_{n}\) be \(\chi^{2}(n)\) and let \(W_{n}=Z_{n} / n^{2}\). Find the limiting distribution of \(W_{n}\).
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Let \(Y_{2}\) denote the second smallest item of a random sample of size \(n\) from a distribution of the continuous type that has cdf \(F(x)\) and pdf \(f(x)=F^{\prime}(x)\). Find the limiting distribution of \(W_{n}=n F\left(Y_{2}\right)\).
Let \(Y\) denote the sum of the observations of a random sample of size 12 from
a distribution having pmf \(p(x)=\frac{1}{6}, x=1,2,3,4,5,6\), zero elsewhere.
Compute an approximate value of \(P(36 \leq Y \leq 48)\) Hint: Since the event
of interest is \(Y=36,37, \ldots, 48\), rewrite the probability as
\(P(35.5
Let the random variable \(Z_{n}\) have a Poisson distribution with parameter \(\mu=n .\) Show that the limiting distribution of the random variable \(Y_{n}=\left(Z_{n}-n\right) / \sqrt{n}\) is normal with mean zero and variance \(1 .\)
Let the pmf of \(Y_{n}\) be \(p_{n}(y)=1, y=n\), zero elsewhere. Show that \(Y_{n}\) does not have a limiting distribution. (In this case, the probability has "escaped" to infinity.)
Let \(Y_{1}\) denote the minimum of a random sample of size \(n\) from a
distribution that has pdf \(f(x)=e^{-(x-\theta)}, \theta
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