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1 (10pts) Let U1, U2, ... ,Un be independent uniform random variables over [0, 0] with...
Let Ui and U2 be independent random variables, each one distributed uniformly on Z be the minimum, Z = min{U1, U2} and W be the maximum, W = max{U1, U2}. Find the joint p.d.f of Z and W [0, 1]. Let Let Ui and U2 be independent random variables, each one distributed uniformly on Z be the minimum, Z = min{U1, U2} and W be the maximum, W = max{U1, U2}. Find the joint p.d.f of Z and W [0,...
Problem 7. Let U1,U2,... be independent random variables all uniformly distributed on the unit interval, and let N be the first integer n 2 2 such that Un > Un-1. Show that for each real number 0<u < 1 !-un . 1- e-". (a) P(Ui-u and N = n) = (b) PUI S u and N is even) Problem 7. Let U1,U2,... be independent random variables all uniformly distributed on the unit interval, and let N be the first integer...
Unif (0, 1) 5. Suppose U1 and U2 i= 1,2. Let X; = - log(1 - U;), i = 1,2. [0, 1], U are independent uniform random variables on (a) Show that X1 and X2 are independent exponential random variables with mean 1, X; ~ Еxp(1), і — 1,2. (b) Find the joint density function of Y1 = X1 + X2 and Y2 = X1/X2 and show that Y1 and Y2 are independent. Unif (0, 1) 5. Suppose U1 and...
= (c) (2pts) Let Sn U1 + U2 + ... + Un be a sum of independent uniform random variables on [0, 1]. Approximate the probability: P(S1000 > 500|S500 > 255)
3. If U1 and U2 are independent standard uniform random variables, show that the variables are independent and identically distributed from N(0, 1) (the standard normal distribution) [10 marks
1) In this exercise, we are given the distribution of Sn=U1+U2+…+Un, where Ui are i.i.d. Uniform(a=0,b=1) random variables. a) Find the p.d.f. of S3=U1+U2+U3 and sketch its graph. b) Find the p.d.f. of S4=U1+U2+U3+U4 and sketch its graph c) Neither S3 or S4 are distributions with a name, but if you sketch their p.d.f.s, they should resemble a previous distribution. Which one?
6. Let Ui, U,Un be independent Unif-2,0) random variables and Xa)in(U, U2, .., Un). Prove that X(a) converges in probability to -2
Let U., Un be independent, identically distributed Uniform random variables with (continu- ous) support on (0, b), where b >0 is a parameter. Define the random variable Y :--Σίι log(U), where log is the natural logarithm function. De- termine the probability density function (pdf) p(y; b of Y by explicitly computing it.
Let U1 and U2 be independent and uniform on [0,1]. Find and sketch the density function of S=U1+U2.
3. Let U1, U2,. be a sequence of independent Ber(p) random variables. Define Xo 0 and Xn+1-Xn +2Un-1, 1,2,.. (a) Show that X, n 0,1,2, is a Markov chain, and give its transition graph. (b) Find EX and Var(X) c)Give P(X