ProbabilityDistribution[pdf, {x, x_min, x_max}] represents the continuous distribution with PDF pdf in the variable x where the pdf is taken to be zero for x < x_min and x > ...

This document describes how to compile and run MathLink programs written in the C language on Linux systems. ("MathLink and External Program Communication" describes how to ...

Mathematica has over 3000 built-in functions and other objects, all based on a single unified framework, and all carefully designed to work together, both in simple ...

Correlation[v_1, v_2] gives the correlation between the vectors v_1 and v_2.Correlation[m] gives the correlation matrix for the matrix m.Correlation[m_1, m_2] gives the ...

Covariance[v_1, v_2] gives the covariance between the vectors v_1 and v_2.Covariance[m] gives the covariance matrix for the matrix m.Covariance[m_1, m_2] gives the covariance ...

Kurtosis[list] gives the coefficient of kurtosis for the elements in list.Kurtosis[dist] gives the coefficient of kurtosis for the symbolic distribution dist.

Skewness[list] gives the coefficient of skewness for the elements in list.Skewness[dist] gives the coefficient of skewness for the symbolic distribution dist.

This document describes how to compile and run MathLink programs written in the C language on Mac OS X systems. ("MathLink and External Program Communication" describes how ...

The Mathematica compiler can run computations in parallel. It does this by threading a compiled function over lists of data in parallel. A first step is to create a compiled ...

When building an initial statistical model, you may not have a good idea of what parametric distribution family it should come from. Nonparametric distributions make very few ...