(4) If X and Y are two random variables, the joint moments can be derived from the joint characteristic function as Mnk = (-j) n+k n+k ** $xx (1), 3) / 0 = δω"δω @₁ = 0,0₂ = 0

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Prove the theorem....

(4) If X and Y are two random variables, the joint moments can be derived from the joint
characteristic
function as
mnk
= (-j)n+k
²px
Pxx (@r, w₂)
dw,"dw₂*
k
an+k
banged of iss
@₁ = 0,w₂ = 0
Transcribed Image Text:(4) If X and Y are two random variables, the joint moments can be derived from the joint characteristic function as mnk = (-j)n+k ²px Pxx (@r, w₂) dw,"dw₂* k an+k banged of iss @₁ = 0,w₂ = 0
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