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Lukacs's proportion-sum independence theorem

In statistics, Lukacs's proportion-sum independence theorem is a result that is used when studying proportions, in particular the Dirichlet distribution. It is named after Eugene Lukacs.

The theorem

If Y<sub>1</sub> and Y<sub>2</sub> are non-degenerate, independent random variables, then the random variables

are independently distributed if and only if both Y<sub>1</sub> and Y<sub>2</sub> have gamma distributions with the same scale parameter.

Corollary

Suppose Y<sub>&nbsp;i</sub>,&nbsp;i&nbsp;=&nbsp;1,&nbsp;...,&nbsp;k be non-degenerate, independent, positive random variables. Then each of k&nbsp;&minus;&nbsp;1 random variables

is independent of

if and only if all the Y<sub>&nbsp;i</sub> have gamma distributions with the same scale parameter.

References