For obtaining the jont distribution of U and L we use the defition of conditional distribution of U give L and the marginal distribution of L.
8. Let U be uniformly distributed on [0, L], where L has Exponential(A) distribution. Let V-...
8. Let U be uniformly distributed on [0, L], where L has Exponential(A) distribution. Let V- L - U. What is the joint density function of U and V?
1. Let U be a random variable that is uniformly distributed on the interval (0,1) (a) Show that V 1 - U is also a uniformly distributed random variable on the interval (0,1) (b) Show that X-In(U) is an exponential random variable and find its associated parameter (c) Let W be another random variable that is uformly distributed on (0,1). Assume that U and W are independent. Show that a probability density function of Y-U+W is y, if y E...
Exercise 6.55 Let X and Y be random variables with joint density function f(x, y)- 4 0 otherwise Show that the joint density function of U = 3(X-Y) and V = Y is otherwise, where A is a region of the (u, v) plane to be determined. Deduce that U has the bilateral exponential distribution with density function fu (11) te-lul foru R. Exercise 6.55 Let X and Y be random variables with joint density function f(x, y)- 4 0...
Let X be distributed as standard exponential distribution. a. Let W = αXβ. Find the probability density function and the cumulative distribution function of W. b. Let Y = log(W ). Find the probability density function and the cumulative distribution function of Y .
5. Let X and Y be independent and identically distributed with marginal probability density function İf a> 0, otherwise, e-ea f(a)-( where >0 (a) [6 pts] Use the convolution formula to find the probability density function of X +Y (b) (6 pts) Find the joint probability density function of V= X + Y U=X+Y and 5. Let X and Y be independent and identically distributed with marginal probability density function İf a> 0, otherwise, e-ea f(a)-( where >0 (a) [6...
Let there be U, a random variable that is uniformly distributed over [0,1] . Find: 1) Density function of the random variable Y=min{U,1-U}. How is Y distributed? 2) Density function of 2Y 3)E(Y) and Var(Y) U Uni0,1
Let X and Y be independent and identically distributed with marginal probability density function f(a)- 0 otherwise, where 8>0 (a) [6 pts] Use the convolution formula to find the probability density function of X +Y. (b) [6 pts) Find the joint probability density function of U X+Y and V- X+Y
You are given that the random variable X is exponential with a mean of 1, and that the random variable Y is uniformly distributed on the interval (0, 1). Furthermore, it is known that X and Y are independent. Find the density of the joint distribution of U = XY and V = X/Y.
Exercise 6.17. Let U and V be independent, U~ Unif(0,1), and V~ Gamma(2.A) which means that V has density function fv(1) λ2e-W for v0 and zero elsewhere. Find the joint density function of (X, Y)-. (UV, ( 1-U)V). Identify the joint distribution of (X, Y) In terms of named distributions. This exercise and Example 6.44 are special cases of
Let X be a continuous random variable uniformly distributed on the unit interval (0, 1), .e X has a density f(x) = { 1, 0<r<1 f (x)- 0, elsewhere μ+ơX, where-oo < μ < 00, σ > 0 (a) Find the density of Y (b) Find E(Y) and V(Y)