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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 Y1 and Y2 are non-degenerate, independent random variables, then the random variables : W=Y_1+Y_2\text{ and }P = \frac{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=\frac{Y_i}{\sum_{i=1}^k Y_i} is independent of : W=\sum_{i=1}^k Y_i if and only if all the Y i have gamma distributions with the same scale parameter. ==References==
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