This class models an abstract implementation of a real probability distribution, either discrete or continuous. The method for computing the probability density function is abstract (that is, unspecified). However, the class contains default methods for computing other basic quantities in terms of the density function, such as the distribution function, quantile function, mean, variance, moments, generating function, and simulated value. These methods are overridden in subclasses that define actual distributions, whenever closed formulas or better algorithms exist. The Distribution class is the parent of all classes that end in the term Distribution.
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.