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Lukacs's proportion sum independence theorem

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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 for Eugene Lukacs.

Contents

The theorem

If Y1 and Y2 are non-degenerate, independent random variables, then the random variables

W = Y 1 + Y 2  and  P = Y 1 Y 1 + Y 2

are independently distributed if and only if both Y1 and Y2 have gamma distributions with the same scale parameter.

Corollary

Suppose Y ii = 1, ..., k be non-degenerate, independent, positive random variables. Then each of k − 1 random variables

P i = Y i i = 1 k Y i

is independent of

W = i = 1 k Y i

if and only if all the Y i have gamma distributions with the same scale parameter.

References

Lukacs's proportion-sum independence theorem Wikipedia