- Let X1,X2… in Geometric (p). Let N∼ Poisson (λ), with N independent of all of the X′is. Let SN=X1+…+XN
(a) [2] Find P(SN=0).
(b) [4] Find Cov(SN,N). - Let ρ∈(−1,1),σ>0, and τ>0. Suppose that Z∼N(0,τ2), and X1 is a N(0,σ2) random variable that is independent of Z. Let X2=ρX1+Z.
(a) [2] Find the joint distribution of X1 and X2.
(b) [1] State a condition so that X1 and X2 have the same marginal distributions if and only if that condition is satisfied.
(c) [1] State a condition so that X1 and X2 are independent if and only if those conditions are satisfied.
(d) [2] Show that if X1 and X2 are i.i.d., then P(X1<X2)=0.5. - Let U∼ Uniform (0,1).
(a) [2] Let Xn be a discrete random variable with P(Xn=in)=1n for i=1,2,…,n. Show that Xa4→U
(b) [4] Find the asymptotic distribution of 2min(Xn,1−Xn). - Suppose that X1,X2,…, are iid with E[Xi]=μ and Var[Xi]=σ2<∞. Consider the sequence of random variables Y1,Y2,…, where
$$
Y_{n}=\left{14, if n=1,2,…,1010 1n∑nj=1Xj, if n=1010+1,1010+2,…\right.
$$
(a) [2] What does Yn converge in probability to?
(b) [2] Find the asymptotic distribution of √n(Yn−μ).
Let θ>0 be a constant. Let X1,X2… be i.i.d. with pdf $f(x)=\left{θx8−1,0<x<1 , 0, otherwise. \right.$
(a) [2] Find the distribution of −log(X1).
(b) [2] Find the asymptotic distribution of √n(1n∑ui=1log(Xi)+10).
(c) [2] Find the asymptotic distribution of √n(1+n∑∑ni=1log(Yi)).
(d) [2] Find the asymptotic distribution of √n((∏ni=1Xi)1n−e−1).