Explore Courses | Elder Research | Contact | LMS Login
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.
Browse Other Glossary Entries
By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.