This class models the convolution of two given distributions. When two independent random variables are added, the density function of the sum is the convolution of the density functions of the summands. The class has methods for getting and setting the component distributions. The class inherits methods from the parent Distribution class for computing the mean, variance, moments, distribution function, quantile function, generating function, and simulated value. Some of these methods are overridden to implement closed formulas or better algorithms. This object is used, for example, in the basic dice experiment.
The text area below gives the code for this object, so that you can browse the constructors, methods, and properties of the object. Of course, this source file is part of distributions.zip, which contains the source and resource files for all objects in the distributions class.