Question

Let Yı and Y2 be independent, Normal random variables, each with mean μ and variance σ2 . Let a1 and a2 denote known constants. _Find the density function of the linear combination a1 Y1 + a2 γ2. Do we ALWAYS use momentume generating function? The mgfforaNormal distribution with parameters μ and σ is m(t) = 、 @t+σ2t2/2» ls this just a formula that l have to remember?? Ele(aYjke(ph)t] Ele a Y)Ele Y2)]I understood upto this part MYi(at)MY2(a2t) /And l arm stuck.. Can anyone give extra step from here? plz (by independence) = This is the mgf for a Normal variable with mean μ(a1 variance σ2(a + a3). a2) and 2 決

Can anyone explain blue writing? Thank you!!

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Answer #1

Query 1: No Moment generating function is not the only way of getting the density of the linear combination. Jacobian method can also be used for the same.

Query 2:Yes this is a formula and it would be helpful if you could remembe it, But anyway you can readily derieve this if required.

Query 3:

E(e^{(a_1Y_1)t})\\=E(e^{(a_1t)Y_1}) \\=E(e^{uY_1})\text{ where u=}a_1t \\ = M_{Y_1}(u) \\= M_{Y_1}(a_1t)

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Can anyone explain blue writing? Thank you!! Let Yı and Y2 be independent, Normal random variables,...
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