so ive been stuck for a good while and i tried an attempt but im so lost. Im wondering what im doing wrong LSM 3 Part A. Let X, Y be two exponential (A) random variables that are - e for x20 1....
LSM 3 Part A. Let X, Y be two exponential (2) random variables that are independent from each other. We know that X should have DF of x)for 20 and CDF of F)for20. 1. (5 credits) Let I-min(X, . Obtain the PDE f) 2. (5 credits) Let 4 be the event (Xsy. Obtain the conditional joint PDE of (10 credits) Let IP-Y-X. Obtain the conditional PDF of fnIA (wIA) 3*. LSM 3 Part A. Let X, Y be two exponential...
a) Let X and Y be two random variables with known joint PDF Ir(x, y). Define two new random variables through the transformations W=- Determine the joint pdf fz(, w) of the random variables Z and W in terms of the joint pdf ar (r,y) b) Assume that the random variables X and Y are jointly Gaussian, both are zero mean, both have the same variance ơ2 , and additionally are statistically independent. Use this information to obtain the joint...
The random variables X and Y are independent with exponential densities fx (x) = e-"u(x) (a) Let Z = 2X + and w =-. Find the joint density of random variables Z and W (b) Find the density of random variable W (c) Find the density of random variable Z The random variables X and Y are independent with exponential densities fx (x) = e-"u(x) (a) Let Z = 2X + and w =-. Find the joint density of random...
(15 points) Consider two independent, exponential random variables X,Y ~ exp(1). Let U = X + Y and V = X/(X+Y). (a) (5 points) Calculate the joint pdf of U and V. (b) (5 points) Identify the distribution of U. If it has a "named” distribution, you must state it. Otherwise support and pdf is enough. (c) (5 points) Identify the distribution of V.If it has a "named” distribution, you must state it. Otherwise support and pdf is enough.
exp(1) 7. (15 points) Consider two independent, exponential random variables X,Y Let U = X + Y and V = X/(X+Y). (a) (5 points) Calculate the joint pdf of U and V. (b) (5 points) Identify the distribution of U. If it has a "named" distribution, you must state it. Otherwise support and pdf is enough. (c) (5 points) Identify the distribution of V.If it has a “named” distribution, you must state it. Otherwise support and pdf is enough.
The random variables X and Y have the joint PDF fx,y(x,y)=0.5, if x>0 and y>0 and xtys2, and 0 otherwise. Let A be the event Ys1) and let B be the event (Y>X). (You can use rational numbers like 3/5 for your answers.) 1. Calculate P(BIA). 2. Calculate fxıy(xlO.9) fxIY(0.39820710.9) 3. Calculate the conditional expectation of X, given that Y=1.8 4, Calculate the conditional variance of X, given that Y=1.4 5. Calculate fxlB(x) fXIB(0.11) 6. Calculate E[XY]. 7. Calculate the...
MA2500/18 Section B (Answer THREE questions) 6. Let X and Y be jointly continuous random variables defined on the same prob- ability space, let fx.y denote their joint PDF, and let fx and fy respectively denote their marginal PDFs (a) Let z be a fixed value such that fx(x) >0. Write down expressions for 12] (i) the conditional PDF of Y given X = z, and (i) the conditional expectation of Y given X (b) State and prove the law...
2) Let X and Y be independent exponential random variables with means E[X] = 0 and EY = 28. 1 1 f(310) = -X/0 e x > 0, f(y|0) = e-4/20 y > 0 0 24 a) Show that the likelihood function can be written as (2 points) L(0) = e-3(x+3) 202 b) Find the MLE ô of 0. (5 points)
Question 4: Let X and Y be two discrete random variables with the following joint probability distribution (mass) function Pxy(x, y): a) Complete the following probability table: Y 2 f(x)=P(X=x) 1 3 4 0 0 0.08 0.06 0.05 0.02 0.07 0.08 0.06 0.12 0.05 0.03 0.06 0.05 0.04 0.03 0.01 0.02 0.03 0.04 2 3 foy)=P(Y=y) 0.03 b) What is P(X s 2 and YS 3)? c) Find the marginal probability distribution (mass) function of X; [f(x)]. d) Find the...
Let X and Y be two Independent random variables such that V(X) =1 and V(Y) =2. Then V(3X-2Y+5) is equal: a. 25 b. 20 17 d. 15 C. O a d Light bulbs are tested for their life-span. The probability of rejected bulbs is found to be 0.04. A random sample of 15 bulbs is taken from stock and tested. The random variable X is the number of bulbs that are rejected. The probability that 2 light bulbs in the...