Multivariate distribution : Mean vector?

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aslanbey42
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Hello friends.My English is bad :) .I'll try to explain my trouble.

In question: Q function according to x1 and x2 are substitutes when the joint comes out of solution. Of the solution in theory I do not understand where they come from.Is there another solution or the problem? Where is the theoretical? Can you please explain mathematically?

----Question---

probability density function:

[tex]f(x)=\frac{1}{\pi}\left(exp\left(\frac{-1}{2}\left(9x^{2}_{1}+2x^{2}_{2}+8x_{1}x_{2}-20x_{1}-8x_{2}+44\right)\right)\right)[/tex]

Multivariate normal distibitions

mean vector of the universe?

Answer:

[tex]\mu=\left(2,-2\right)[/tex]

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Thanks
 
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Teory and proof...

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