Product of independent uniform random variables
Résumé
We give an alternative proof of a useful formula for calculating the probability density function of the product of uniform, independently and identically distributed random variables. Ishihara (2002, in Japanese) proves the result by induction; here we use Fourier analysis and contour integral methods which provide a more intuitive explanation of how the convolution theorem acts in this case.
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