Integrated into the Mathematica system are powerful functions for analyzing large volumes of discrete and integer data—often conveniently specified using Mathematica's ...

Discrete distributions come from a variety of backgrounds, but perhaps the most common relate back to the simple Bernoulli trial, which chooses between two outcomes, called ...

Different measures of distance or similarity are convenient for different types of analysis. Mathematica provides built-in functions for many standard distance measures, as ...

The fundamental type of distribution in reliability analysis is a lifetime distribution. This models the lifetime of a component or a system. Many lifetime distributions are ...

Fundamental to Mathematica's dynamic interactivity capabilities is a new form of symbolic dynamic language. With a very small number of highly powerful primitives that mix ...

Mathematica normally takes any expression it is given, and evaluates it as far as possible. But built into the Mathematica language is a collection of flexible primitives ...

Mathematica allows any front end command to be executed programmatically from within the kernel by sending an appropriate front end token. There are tokens for all standard ...

Exponential and related distributions occur in a variety of contexts, such as reliability and communication. As such, a large number of extensions and variations of ...

At the core of Mathematica is the foundational idea that everything —data, programs, formulas, graphics, documents—can be represented as symbolic expressions. And it is this ...

Mathematica allows any front end command to be executed programmatically from within the kernel by sending an appropriate front end token. There are tokens for all standard ...