This class models a distributions which is the mixture of a given set of distributions using a given set of probabilities as the mixing parameters. The class has methods for getting and setting the distributions and the mixing probabilities and for computing the probability density function. 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 coin-die 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.