SmoothHistogram[{x_1, x_2, ...}] plots a smooth kernel histogram of the values x_i.SmoothHistogram[{x_1, x_2, ...}, espec] plots a smooth kernel histogram with estimator ...

LogNormalDistribution[\[Mu], \[Sigma]] represents a lognormal distribution derived from a normal distribution with mean \[Mu] and standard deviation \[Sigma].

Basic two-dimensional graphics elements. Here is a line primitive. This shows the line as a two-dimensional graphics object.

There are a variety of ways to describe probability distributions such as probability density or mass, cumulative versions of density and mass, inverses of the cumulative ...

Diagnostics are an important part of analyzing models of data. Plots of residuals and leverage or influence measures provide valuable insight into whether assumptions of the ...

Mathematica supports logical operators not only for programming, but for mathematical operations as well.

ColorCombine[{image_1, image_2, ...}] creates a multichannel image by combining the sequence of channels in the image_i. ColorCombine[{image_1, image_2, ...}, colorspace] ...

EntropyFilter[image, r] filters image by replacing every value by the information entropy of the values in its range r neighborhood. EntropyFilter[data, r] applies entropy ...

HoldForm[expr] prints as the expression expr, with expr maintained in an unevaluated form.

InverseDistanceTransform[image] gives the inverse distance transform of image, returning the result as a binary image.