If Y1, Y2 are identically independently distributed as normal distribution with mean u
Let "Y_1" and "Y_2" are independent and identically distributed normal random variable with mean "\\mu" and variance "\\sigma^2."
It is known that a linear combination of independent normal random variables is also normally distributed.
If "Y_1" and "Y_2" are independent and identically distributed normal random variable with mean "\\mu" and variance "\\sigma^2," then "U=\\dfrac{1}{2}(Y_1-3Y_2)" is also normally distributed. So, the mean and variance of "U"are,
"=\\dfrac{1}{2}(E[Y_1]-3E[Y_2])=\\dfrac{1}{2}(\\mu-3\\mu)=-\\mu"
"\\sigma^2_U=V[U]=V[\\dfrac{1}{2}(Y_1-3Y_2)]"
"=\\dfrac{1}{4}(V[Y_1]+(-3)^2V[Y_2])"
"=\\dfrac{1}{4}(\\sigma^2+9\\sigma^2)=\\dfrac{5}{2}\\sigma^2"
Therefore, "U" follows a normal distribution with mean "-\\mu" and variance "\\dfrac{5}{2}\\sigma^2"
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