Let X and Y be independent exponential(1) RVs (f(x) e 10). Show that uniform(0, 1) distribution....
Problem 5) Let X and Y be independent gamma RVs with parameter (a, 1) and (3, 1), respec- tively. a) Show that X + Y is also gamma RV with parameters (a +3,1). b) Compute the joint density of U = X + Y and V = ty
please show steps Q.8 Let X and Y be continuous rvs with the joint pdf f(x, y) = (3/2)xy, for 0 < x, 0 < y, 0 < x + y < 2 and 0 otherwise. (a) Find E[X + Y ] and E[X − Y ] (b) Find E[XY ] (c) Find E[Y |X = x] and E[X|Y = y]. (d) Find Cov[X, Y ]
12. Let X and Y be independent random variables, where X has a uniform distribution on the interval (0,1/2), and Y has an exponential distribution with parameter = 1. (Remember to justify all of your answers.) (a) What is the joint distribution of X and Y? (b) What is P{(x > 0.25) U (Y > 0.25)}? (c) What is the conditional distribution of X. given that Y - 3? (d) What is Var(Y - E[2X] + 3)? (e) What is...
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)
9. Some TRUE/FALSE questions. The RVs X and Y must be independent if... (a) f(y|x) = fy(x) for all X. (b) Cov(X,Y) = 0. (c) f(x, y) = cx, for 0 < x < y2 < 1. (d) E[XY] = E[X] · E[Y]. (e) f (x, y) = cx- (1 + y2), for 0 < x <1,0 < y < 2.
4. (Sec. 5.2, 00) Let X and Y be continuous rvs with the joint f(x, y) = 2(x+y), for 0 <y <r <1 and 0 otherwise. (a) Find E(X+Y) and E[X - Y) (b) Find E[XY] (c) Find E[Y|X = x) and E[X Y = y). (d) Find Cov[X,Y]
Let F be a continuous distribution function and let U be a uniform (0, 1) random variable (a) If X F-(U), show that X has distribution function F. Show that -log(U) is an exponential random variable with mean 1.
Problem 10. Show that if X and Y are independent exponential random variables with λ distribution. Also, identify the degrees of freedom. 1,then X/Y follows an F
Let X be uniform on [0, 1], and let Y be exponential with rate λ, so that P(Y ≥ t) = e ^(−λt ) t ≥ 0 and 1 if t < 0 Assume that X and Y are independent, and define W = X + 2Y . a) For any w ≥ 0 and x ∈ [0, 1], compute P(W ≥ w|X = x) b) By undoing the conditioning on X, use the result from part (a) to compute...
12. Let X and Y be independent random variables, where X has a uniform distribution on the interval (0,1/2), and Y has an exponential distribution with parameter A= 1. (Remember to justify all of your answers.) (a) What is the joint distribution of X and Y? (b) What is P{(X > 0.25) U (Y> 0.25)}? nd (c) What is the conditional distribution of X, given that Y =3? ur worl mple with oumbers vour nal to complet the ovaluato all...