Convolution of Distribution Functions:
If F1(·) and F1(·) are distribution functions, then the function F(·)
is called the convolution of distribution functions F1 and F2. This is often denoted as .
The convolution provides the distribution function of the sum of two independent random variables with distribution functions F1 and F2.