概率論與數理統計
X、Y爲兩個獨立的隨機變量,其各自的期望,方差均已知,D(XY)=?
D(XY) = E{[XY-E(XY)]^2}
= E{X²Y²-2XYE(XY)+E²(XY)}
= E(X²)E(Y²)-2E²(X)E²(Y)+E²(X)E²(Y)
= E(X²)E(Y²)-E²(X)E²(Y)
如果 E(X) = E(Y) = 0,
那麼 D(XY) = E(X²)E(Y²) = D(X)D(Y),
也就是說當 X,Y獨立,且X,Y的數學期望均爲零時,X,Y乘積 XY的方差D(XY)等於:
D(XY) = D(X)D(Y)