Let Y be some rv (discrete or continuous). Let the transformation be: U = F (Y ), where F (·) stands for the cdf. Find the pdf of U using the cdf method. Can you name the distribution of U?
Let Y be some rv (discrete or continuous). Let the transformation be: U = F (Y...
3. X is a continuous RV with pdf f(x) and CDF F(x). a) Derive the dist of Y=F(X). b) Show that Z=-2ln(Y) has a Gamma dist. & derive it. 4. X_i ~ cont with pdf f_i(x) and CDF F_i(x), i=1, 2, ..., k. all independent. Define Y_i=F_i(X_i), i=1, ..., k. Derive the distribution of U=-2ln[Y_1.Y_2...Y_k].
7.1 required non-book problem: Suppose RV Y is continuous with invertible CDF Fy. Then 1. U = Fy (Y) is uniform on the unit interval, i.e., U U (0,1). Recall that this result is known as the Probability Integral Transform. 2. Y = F'(U) has CDF Fy if U U (0,1). Do the following: 1: Let W = Fy(Y) where Fy(y) = 1 - e-dy, osy< where Y is exponential with parameter and Fy is the CDF of Y. Using...
3. X is a continuous RV with pdf f(x) and CDF F(x). a) Derive the dist of Y=F(X) b) Show that Z=-21n(Y) has a Gamma dist. & derive it. 4. X-i ~ cont with pdf fi(x) and CDF Fi(x), i=1, 2, , k. all independent. Define YjaFi(Xi), i=1, , k. Derive the distribution of 3. X is a continuous RV with pdf f(x) and CDF F(x). a) Derive the dist of Y=F(X) b) Show that Z=-21n(Y) has a Gamma dist....
Let X and Y be continuous random variables with following joint pdf f(x, y): y 0<1 and 0<y< 1 0 otherwise f(x,y) = Using the distribution method, find the pdf of Z = XY.
Let Y be rv with its CDF is F(y) find the maximum value of n r.v. which are IID and each CDF is F(y)
(a) Let X be a continuous random variable with the cdf F(x) and pdf f(.1). Find the cdf and pdf of |X|. (b) Let Z ~ N(0,1), find the cdf and pdf of |Z| (express the cdf using ” (-), the cdf of Z; give the explicit formula for the pdf).
2. LetX be a continuous RV uniformly distributed over [O . Let Y-sin(X). Find the pdf of Y
Let the RV Y has the pdf f ( y ) = 6 y ( 1 − y ) , 0 ≤ y ≤ 1 , f ( y ) = 0 elsewhere . Find E[Y2]
2. Let X be a continuous r.v. with pdf f () and cdf F(x). Let U F (X). Show that, as long as F(x) is strictly monotonic increasing, U is uniformly distributed on (0,1). Discuss why this result is important, given that it is known how to simulate Uniformly distributed random variables easily.
Student ID: Let the discrete RV X-UI-2,2]. Let Y X2 a) 14pts] What values X and Y can take? Find pdf's of both X and Y. b) [4pts] Compute the joint pdf, xy(x) c) [4pts] Compute the Ech) and Em d) [3pts] Compute the Cov(x.y e) [3pts] Compute the pxy Cor(x,Y). f) 2pts] Are X and Y independent? Prove it. Student ID: Let the discrete RV X-UI-2,2]. Let Y X2 a) 14pts] What values X and Y can take? Find...