Processing math: 100%
  1. Let X1,X2 in Geometric (p). Let N Poisson (λ), with N independent of all of the Xis. Let SN=X1++XN
    (a) [2] Find P(SN=0).
    (b) [4] Find Cov(SN,N).
  2. Let ρ(1,1),σ>0, and τ>0. Suppose that ZN(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.
  3. 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 Xa4U
    (b) [4] Find the asymptotic distribution of 2min(Xn,1Xn).
  4. Suppose that X1,X2,, are iid with E[Xi]=μ and Var[Xi]=σ2<. Consider the sequence of random variables Y1,Y2,, where
    $$
    Y_{n}=\left{14, if n=1,2,,1010 1nnj=1Xj, if n=1010+1,1010+2,\right.
    $$
    (a) [2] What does Yn converge in probability to?
    (b) [2] Find the asymptotic distribution of n(Ynμ).

Let θ>0 be a constant. Let X1,X2 be i.i.d. with pdf $f(x)=\left{θx81,0<x<1 ,  0, otherwise. \right.$


(a) [2] Find the distribution of log(X1).

(b) [2] Find the asymptotic distribution of n(1nui=1log(Xi)+10).


(c) [2] Find the asymptotic distribution of n(1+nni=1log(Yi)).

(d) [2] Find the asymptotic distribution of n((ni=1Xi)1ne1).

MT3610/4610/5461 Error Correcting Codes代写请认准UpriviateTA

量子力学代写