Q 6.2. Let X = (X1, X2, X3)T MVN(x, Ex) where 2 -3 -() 1 fx = and Ex: = 6 -2 L - -2 - (a) Compute the moment generating function Mx (t) of X. (b) Compute E(X1 X₂). (c) Let Y₁ = 3X2 X3 + 1 Y₂ X₁ X2 X3 Y3 = X₁ + 2X₂ - 2. Compute the distribution of Y = (Y₁, Y2, Y3)T. -2 -2 2 1 1 1 -
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- Q 6.2. Let X = (X1, X2, X3)T ~ MVN(µx, Ex) where -() fx = and Ex = Y₁ Y₂ Y3 Compute the distribution of Y = (Y1, Y2, Y3)T. = = ( (a) Compute the moment generating function Mx (t) of X. (b) Compute E(X₁X₂). (c) Let = 6 -2 -2 -2 -2 2 1 1 1 3X2 X3 + 1 X₁ X₂ X3 X₁ + 2X2 - 2.Suppose that Y₁ and Y₂ are uniformly distributed over the triangle shaded in the accompanying figure. 3₂ (0, 1) (-1,0) (a) Find Cov(Y₁ Y₂). Cov(Y₁, Y₂) = (b) Are Y₁ and Y₂ independent? Yes O No (1, 0) (c) Find the coefficient of correlation for Y₁ and Y₂. P= y/₁ (d) Does your answer to part (b) lead you to doubt your answer to part (a)? Why or why not? O Even though Cov(Y₁Y₂) # 0, Y₁ and Y₂ are not necessarily dependent. Since Cov(Y₁ Y₂) # 0, we should expect Y₁ and Y₂ to be dependent. O Since Cov(Y₁, Y₂) = 0, we should expect Y₁ and Y₂ to be independent. O Even though Cov(Y₁Y₂) = 0, Y₁ and Y₂ are not necessarily independent.Suppose that Xi ∼ Gamma(αi , β) independently for i = 1, . . . , N. The mgf(moment generating function) of Xiis MXi(t) = (1 − (t/β) )−αi . (a)Use the mgf of Xi to derive the mgf of ∑i=1 Xi . Determine the distribution of ∑i=1 Xi based on its mgf.
- Suppose X and Y are the coordinates of a randomly sampled point in the triangle with vertices (- O), (0,1). (This means their joint PDF is a constant). Find the joint PDF of X and Y, call if f (x,y). Find fy (y)6. (Sec. 5.1) Two headlights of a car have the following joint pdf for their useful lifetimes X (the left headlight) and Y (the right headlight) ze(y+1) for r> 0.y > 0 f(x, y) 0 otherwise (a) What is the probability that the lifetime X of the left headlight exceeds 2.8? (b) Find the marginal pdfs of X and Y. Are the two lifetimes independent? Justify your answer (c) What is the probability that the lifetime of at least one headlight does not exceed 2.8?Q 6.2. Let X = (X1, X2, X3)¹ ~ MVN(µx, Ex) where -3 -(1) μx = and Σχ = (a) Compute the moment generating function Mx (t) of X. (b) Compute E(X₁X2). (c) Let Y₁ Y₂ Y3 Compute the distribution of Y= (Y₁, Y2, Y3)T. = = 6 -2 -2 = -2 2 1 3X2 X3 +1 X₁ - X₂ - X3 X₁ + 2X₂ - 2. -2 1 1
- Assume that X1, X2, X3 ∼ Exp (λ) are independent and evenly distributed with the distribution Exp (λ = 1). (a) Determine the distribution of Y = X1 + X2 + X3 and state its PDF f (y). (b) Determine the distribution of U = 2Y1. Let the random variable Y have pdf as f(y)A) = e"=e{(e*-1), y>0, A > 0. Show that W = {e* – 1] ~ xỉ or, equivalently, U = e' –1~}X.Let Mx (t) = 1/(1-t), t < 1 be the moment-generating function of a random variable X. Find the moment-generating function of the random variable Y = 2X +1.