KolmogorovSmirnovTest[data] tests whether data is normally distributed using the Kolmogorov\[Dash]Smirnov test.KolmogorovSmirnovTest[data, dist] tests whether data is ...

The functions described here are among the most commonly used continuous univariate statistical distributions. You can compute their densities, means, variances, and other ...

The fundamental paradigm of most computer languages, including Mathematica, is that input is given and processed into output. Historically, such input has consisted of ...

In some cases it is useful to split the differential system into subsystems and solve each subsystem using appropriate integration methods. Recombining the individual ...

All the functions FindMinimum, FindMaximum, and FindRoot take variable specifications of the same form. The function FindFit uses the same form for its parameter ...

GammaDistribution[\[Alpha], \[Beta]] represents a gamma distribution with shape parameter \[Alpha] and scale parameter \[Beta].GammaDistribution[\[Alpha], \[Beta], \[Gamma], ...

CreateLibrary[source, name] compiles a string of C code and creates a library file, name.ext.CreateLibrary[{file 1, ...}, name] compiles a number of C source files and ...

It is perhaps easiest to see when to use certain layout elements by visually illustrating how they each combine to create a resizable dialog. Here are a number of further ...

In addition to importing ZIP files stored on your machine, Mathematica can also import ZIP files directly from a URL. In most cases, processing data in ZIP files is ...

When summarizing data, it is often useful to analyze it by subgroup. For example, crop yields could be categorized by seed variety, or average patient recovery time by ...