5. Suppose that X and X2 are independent random variables each having PDF: each having PDF:...
thanks Suppose that Xi and X2 are independent random variables each having PDF: : otherwise (a) Use the transformation technique to find the joint PDF of Yi and Ya where Y-X1 and ½ = Xi +X2. (b) Using your answer to part (a), and the fact that o Vu(1-u) find and identify the distribution of Y2.
4. Suppose that X and X2 have joint PDF: jXiXy(Xi,T2)=Í : otherwise 0 (a) Use the transformation technique to find the joint PDF of Y1 and Y2 where Yi = (b) Using your answer to part (a), find and identify the distribution of Yi
4. Suppose that X and X2 have joint PDF 0 otherwise (a) Use the transformation technique to find the joint PDF of y, and where x,/x, and Y, = X2 (b) Using your answer to part (a), find and identify the distribution of Y.
Suppose that X1 and X2 have joint PDF xx2(,2)o 0 : otherwise (a) Use the transformation technique to find the joint PDF of Yǐ and Ý, where Yi = X1/X2 and Y2-X2 (b) Using your answer to part (a), find and identify the distribution of Yi
Consider two random variables X and X2 with the joint pdf Nn.za) ={Orm ekewhere 1, o?r2 < 1 Let Y X,X2 and Y2X2 be a joint transformation of (Xi, X2) (a) Find the support of (Y.%) and sketch it. (b) Find the inverse transformation. (c) Compute the Jacobian of the inverse transformation (d) Compute the joint pdf of (Yi, Y2) (e) Derive the marginal pdf of Y? from the joint pdf of (y,,Y2).
Let Y1, Y2, ..., Yn be independent random variables each having uniform distribution on the interval (0, θ). (a) Find the distribution of Y(n) and find its expected value. (b) Find the joint density function of Y(i) and Y(j) where 1 ≤ i < j ≤ n. Hence find Cov(Y(i) , Y(j)). (c) Find var(Y(j) − Y(i)). Let Yİ, Ya, , Yn be independent random variables each having uniform distribu- tion on the interval (0, 6) (a) Find the distribution...
3. A random variable X is said to have a Cauchy(α, β) distribution if and only if it has PDF function Now, suppose that Xi and X2 are independent Cauchy(0, 1) random variables, and let Y = X1 + X2. Use the transformation technique to find and identify the distribution of Y by first finding the joint distribution of Xi and Y. (Seahin 3 4
3. Suppose that Yi and 2 are continuous random variables with joint pdf given by and zero otherwise, for some constant c >。 (a) Find the value of c. (b) Are Yi and Y2 independent ? Justify your answer. (c) Let Y = Yi + ½. compute the probability P(Y 3). (d) Let U and V be independent continuous random variables having the same (marginal) distri- 3 MARKS 1 MARK 3 MARKS bution as Y2. Identify the distribution of random...
Show the random variables X and Y are independent, or not independent Find the joint cdf given the joint pdf below Suppose that (X, Y) is uniformly distributed over the region defined by 0 sys1-x2 and -1sx 4 Therefore, the joint probability density function is, 0; Otherwise Suppose that (X, Y) is uniformly distributed over the region defined by 0 sys1-x2 and -1sx 4 Therefore, the joint probability density function is, 0; Otherwise
number2 how to solve it? Are x1 and x2 independent - yes, they are independent. Random variables X and Y having the joint density 1. 8 2)u(y 1)xy2 exp(4 2xy) fxy (x, y) ux- _ 3 1 1 Undergo a transformation T: 1 to generate new random variables Y -1. and Y2. Find the joint density of Y and Y2 X3)1/2 when X1 and X2 (XR 2. Determine the density of Y are joint Gaussian random variables with zero means...