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STAT 350: Lecture 16

Joint Densities

Suppose tex2html_wrap_inline28 and tex2html_wrap_inline30 are independent standard normals. In class I said that their joint density was

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Here I want to show you the meaning of joint density by computing the density of a tex2html_wrap_inline34 random variable.

Let tex2html_wrap_inline36 . By definition U has a tex2html_wrap_inline40 distribution with 2 degrees of freedom. The cumulative distribution function of U is

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For tex2html_wrap_inline46 this is 0 so take tex2html_wrap_inline48 . The event that tex2html_wrap_inline50 is the same as the event that the point tex2html_wrap_inline52 is in the circle centered at the origin and having radius tex2html_wrap_inline54 , that is, if A is the circle of this radius then

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By definition of density this is a double integral

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You do this integral in polar co-ordinates. Letting tex2html_wrap_inline62 and tex2html_wrap_inline64 we see that

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The Jacobian of the transformation is r so that tex2html_wrap_inline70 becomes tex2html_wrap_inline72 . Finally the region of integration is simply tex2html_wrap_inline74 and tex2html_wrap_inline76 so that

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The density of U can be found by differentiating to get

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which is the exponential density with mean 2. This means that the tex2html_wrap_inline82 density is really an exponential density.


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Richard Lockhart
Fri Feb 28 10:44:14 PST 1997