Chapter 3: Problem 12
Show that the \(t\) -distribution with \(r=1\) degree of freedom and the Cauchy distribution are the same.
Chapter 3: Problem 12
Show that the \(t\) -distribution with \(r=1\) degree of freedom and the Cauchy distribution are the same.
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Get started for freeConsider a multinomial trial with outcomes \(1,2, \ldots, k\) and respective probabilities \(p_{1}, p_{2}, \ldots, p_{k} .\) Let ps denote the \(\mathrm{R}\) vector for \(\left(p_{1}, p_{2}, \ldots, p_{k}\right) .\) Then a single random trial of this multinomial is computed with the command multitrial (ps), where the required \(\mathrm{R}\) functions are: \({ }^{2}\) (a) Compute 10 random trials if \(\mathrm{ps}=\mathrm{c}(.3, .2, .2, .2, .1)\). (b) Compute 10,000 random trials for ps as in (a). Check to see how close the estimates of \(p_{i}\) are with \(p_{i}\).
Determine the constant \(c\) so that \(f(x)=c x(3-x)^{4}, 0
Let
$$
f(x, y)=(1 / 2 \pi) \exp
\left[-\frac{1}{2}\left(x^{2}+y^{2}\right)\right]\left\\{1+x y \exp
\left[-\frac{1}{2}\left(x^{2}+y^{2}-2\right)\right]\right\\}
$$
where \(-\infty
Suppose \(\mathbf{X}\) is distributed \(N_{2}(\boldsymbol{\mu}, \boldsymbol{\Sigma})\). Determine the distribution of the random vector \(\left(X_{1}+X_{2}, X_{1}-X_{2}\right) .\) Show that \(X_{1}+X_{2}\) and \(X_{1}-X_{2}\) are independent if \(\operatorname{Var}\left(X_{1}\right)=\operatorname{Var}\left(X_{2}\right)\)
Let \(X, Y\), and \(Z\) have the joint pdf
$$
\left(\frac{1}{2 \pi}\right)^{3 / 2} \exp
\left(-\frac{x^{2}+y^{2}+z^{2}}{2}\right)\left[1+x y z \exp
\left(-\frac{x^{2}+y^{2}+z^{2}}{2}\right)\right]
$$
where \(-\infty
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