MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- The random vector (X,Y) has the following joint probability density function:f(X,Y)(x,y) ={4xye−(x^2+y^2), x >0, y >0, 0, otherwise LetZ=√(X2+Y2) Find the probability density of the random variableZ.arrow_forward3. An electronic system has one each of two different types of components in joint operation. Let Y, and Y, denote the random lengths of life of the components of type I and type II, respectively. The joint density function is given by 1 fV1, Y2) = 0, ,Y1 > 0, y2 > 0 elsewhere a) Find P(Y, > 1, Y2 > 1) b) Are Y, and Y, independent? c) What is the marginal distribution of Y,arrow_forward4. Let X and Y be independent, continuous random variables with densities and fx(x) = = fy (y) = = 0 {} if 0 < x < 2 otherwise. y if 0arrow_forward3. Let random variables X and Y be independent with joint density fe(x, y). Let Ix (0) and Iy (0) be the Fisher information of X and Y, respectively. Prove that the Fisher information I(x,y)(0) = Ix(0) + Iy(0).arrow_forwardFind the density of U = Y1 +Y2, where Y1 and Y2 are independent random variables with densities (yı – 1), 3 < Yı < 4, (y2 + 2), 0 < Y2 < 1, fy, (y1) : fy,(y2) = otherwise, otherwise.arrow_forwardarrow_back_iosarrow_forward_ios
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