Suppose X, Y are independent with X ∼ N (0, 1) and Y ∼ N (0, 1).
Show that the distribution of Q = X/Y follows the Cauchy
distribution, i.e., f(q) = 1/π(1+q2) . Hint: Let Q = X/Y and V=Y.
Find the joint pdf of Q and V and finally find the marginal pdf of
Q by integrating the joint pdf of Q and V w.r.t. V:
Y π(1+q2) Y
V = Y . Find the joint pdf of Q and V and finally find the marginal
pdf of Q by integrating
the joint pdf of Q and V w.r.t. V: ∞ f(q,v)dv = 2∞ f(q,v)dv.
Homework Answers
Could someone please solve this problem? Please write clearly. Thank you. I will give a good...
Could someone please solve
this problem? Please write clearly. Thank you. I will give a good
review.
Suppose X, Y are independent with X N(0,1) and Y ~N(0, 1). Show that the distribu- tion of Q-Ë ) T. Hint: Let Q and V-Y. Find the joint pdf of Q and V and finally find the marginal pdf of Q by integrating the joint pdf of Q and V w.r.t. V: f(a v)dv2J (,v)dv. follows the Cauchy distribution, î.е., J (g
Let f(x, y) = ( kxy + 1 2 if x, y ∈ [0, 1] 0...
Let f(x, y) = ( kxy + 1 2 if x, y ∈ [0, 1] 0 else denote the joint density of X and Y a) Find k b) Find the marginal density of X (because of the symmetry of the joint pdf, the marginal density of Y is analogous). c) Determine whether X and Y are independent. d) Find the mean of X e) Find the cumulative distribution function of X. Set up an equation (but no need to...
Suppose the joint pdf of random variables X and Y is f(x,y) = c/x, 0 <...
Suppose the joint pdf of random variables X and Y is f(x,y) = c/x, 0 < y < x < 1. a) Find constant c that makes f (x, y) a valid joint pdf. b) Find the marginal pdf of X and the marginal pdf of Y. Remember to provide the supports c) Are X and Y independent? Justify
Let X and Y have the joint pdf f(x,y) = e-x-y I(x > 0,y > 0)....
Let X and Y have the joint pdf f(x,y) = e-x-y I(x > 0,y > 0). a. What are the marginal pdfs of X and Y ? Are X and Y independent? Why? b. Please calculate the cumulative distribution functions for X and Y, that is, find F(x) and F(y). c. Let Z = max(X,Y), please compute P(Z ≤ a) = P(max(X,Y) ≤ a) for a > 0. Then compute the pdf of Z.
2) Let X,..X, be ii.d. N(O, 1) random variables. Define U- Find the limiting distribution of Zn (Hint: Recall that if X and Y are independent N(0, 1) random variables, then has a Cauchy distribution...
2) Let X,..X, be ii.d. N(O, 1) random variables. Define U- Find the limiting distribution of Zn (Hint: Recall that if X and Y are independent N(0, 1) random variables, then has a Cauchy distribution
2) Let X,..X, be ii.d. N(O, 1) random variables. Define U- Find the limiting distribution of Zn (Hint: Recall that if X and Y are independent N(0, 1) random variables, then has a Cauchy distribution
1) Let X and Y have joint pdf: fxy(x,y) = kx(1 – x)y for 0 <...
1) Let X and Y have joint pdf: fxy(x,y) = kx(1 – x)y for 0 < x < 1,0 < y< 1 a) Find k. b) Find the joint cdf of X and Y. c) Find the marginal pdf of X and Y. d) Find P(Y < VX) and P(X<Y). e) Find the correlation E(XY) and the covariance COV(X,Y) of X and Y. f) Determine whether X and Y are independent, orthogonal or uncorrelated.
PROBLEM 1 Let the joint pdf of (X,Y) be f(x, y)= xe", 0<y<<< a. Compute P(X>Y)....
PROBLEM 1 Let the joint pdf of (X,Y) be f(x, y)= xe", 0<y<<< a. Compute P(X>Y). b. What is the conditional distribution of X given Y=y? Are X and Y independent? c. Find E(X|Y = y). d. Calculate cov(X,Y).
Let X be a uniform(0, 1) random variable and let Y be uniform(1,2) with X and...
Let X be a uniform(0, 1) random variable and let Y be uniform(1,2) with X and Y being independent. Let U = X/Y and V = X. (a) Find the joint distribution of U and V . (b) Find the marginal distributions of U.
2. A marksman is shooting at (0,0). Let (X, Y) be the coordinates of the hit. Assume X, Y are ind...
2. A marksman is shooting at (0,0). Let (X, Y) be the coordinates of the hit. Assume X, Y are independent N (0,02) (a) Find the joint pdf of (X, Y), (b) Find the pdf of V = X2 + Y2. Hint. First find the cdf F (r) = P (V-r) using polar coordinates and joint pdf from (a).
2. A marksman is shooting at (0,0). Let (X, Y) be the coordinates of the hit. Assume X, Y are independent...
Let X and Y be continuous random variables with following joint pdf f(x, y): y 0<1...
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.
Could someone please solve
this problem? Please write clearly. Thank you. I will give a good
review.
Suppose X, Y are independent with X N(0,1) and Y ~N(0, 1). Show that the distribu- tion of Q-Ë ) T. Hint: Let Q and V-Y. Find the joint pdf of Q and V and finally find the marginal pdf of Q by integrating the joint pdf of Q and V w.r.t. V: f(a v)dv2J (,v)dv. follows the Cauchy distribution, î.е., J (g
Suppose the joint pdf of random variables X and Y is f(x,y) = c/x, 0 < y < x < 1. a) Find constant c that makes f (x, y) a valid joint pdf. b) Find the marginal pdf of X and the marginal pdf of Y. Remember to provide the supports c) Are X and Y independent? Justify
2) Let X,..X, be ii.d. N(O, 1) random variables. Define U- Find the limiting distribution of Zn (Hint: Recall that if X and Y are independent N(0, 1) random variables, then has a Cauchy distribution
2) Let X,..X, be ii.d. N(O, 1) random variables. Define U- Find the limiting distribution of Zn (Hint: Recall that if X and Y are independent N(0, 1) random variables, then has a Cauchy distribution
1) Let X and Y have joint pdf: fxy(x,y) = kx(1 – x)y for 0 < x < 1,0 < y< 1 a) Find k. b) Find the joint cdf of X and Y. c) Find the marginal pdf of X and Y. d) Find P(Y < VX) and P(X<Y). e) Find the correlation E(XY) and the covariance COV(X,Y) of X and Y. f) Determine whether X and Y are independent, orthogonal or uncorrelated.
PROBLEM 1 Let the joint pdf of (X,Y) be f(x, y)= xe", 0<y<<< a. Compute P(X>Y). b. What is the conditional distribution of X given Y=y? Are X and Y independent? c. Find E(X|Y = y). d. Calculate cov(X,Y).
2. A marksman is shooting at (0,0). Let (X, Y) be the coordinates of the hit. Assume X, Y are independent N (0,02) (a) Find the joint pdf of (X, Y), (b) Find the pdf of V = X2 + Y2. Hint. First find the cdf F (r) = P (V-r) using polar coordinates and joint pdf from (a).
2. A marksman is shooting at (0,0). Let (X, Y) be the coordinates of the hit. Assume X, Y are independent...
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.
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