As conditional probability says that,
And also, X, Y have a joint density, which says
Therefore,
and
2. Prove that if X, Y have a joint density, then for any Be B, f(y, x) JB f(x)
If X and Y have a joint density given by f(x, y)- 2, for 0 < y < x < 1 0, elsewhere (a) If V - -InX, what is the density of V? (b) If V -InX and W X + Y, what is the joint density of V and W? Sketch the region for which the joint density is nonzero
If X and Y have a joint density given by f(x, y) = 2, for 0 < y < x < 1 0, elsewhere (a) If V = −lnX, what is the density of V ? (b) If V = −lnX and W = X + Y , what is the joint density of V and W? Sketch the region for which the joint density is nonzero.
2. (10 pts The random variables X and Y have joint density function f(x, y) == 22 + y2 <1. Compute the joint density function of R= x2 + y2 and = tan-1(Y/X).
3. Suppose X and Y have joint density f(x,y)- "cy. 0 < x < y < oo, and equal to 0 for all other (r, y). (a) Calculate the joint density of U = Y-X,V-X. (b) Are U and V independent?
Given f(x,y) = 2 ; 0 <X<y< 1 a. Prove that f(x,y) is a joint pdf b. Find the correlation coefficient of X and Y
2. Random variables X and Y have joint probability density function f(x, y) = kry, 0<<1,0 <y <1. Assume that n independent pairs of observations (C,y:) have been made from this density function. (a) Find the k which makes f(x,y) a valid density function, (b) Find the maximum likelihood estimators of a and B. (c) Find approximate variances for â and B.
2. Let X and Y have joint density f(x.v) = \ şcy? if 0 <x< 1 and 1 <y<2, otherwise. (a) Compute the marginal probability density function of Y. If it's equal to 0 outside of some range, be sure to make this clear. (b) Set up but do not compute an integral to find P(Y < 2X).
I really do need help please
7. X, Y have joint density f(x,y) = 2 if 0 < r <y< 1, S(x, y) = 0 otherwise. Compute the conditional density fxiy
9 Let X and Y have the joint probability density function f(x, y) ={4x for 。< otherwise a) What is the marginal density function of Y, where nonzero? b)Are X and Y stochastically independent
9 Let X and Y have the joint probability density function f(x, y) ={4x for 。
Problem #8: Suppose that X and Y have the following joint probability density function. f(x,y)- ^x, 0 < x < 5, y> 0, x-2 <y <x+:2 146 (a) Find E(XY (b) Find the covariance between X and Y.
Problem #8: Suppose that X and Y have the following joint probability density function. f(x,y)- ^x, 0