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NoncentralStudentTDistribution   (Built-in Mathematica Symbol)
NoncentralStudentTDistribution[\[Nu], \[Delta]] represents a noncentral Student t distribution with \[Nu] degrees of freedom and noncentrality parameter \[Delta].
PolyaAeppliDistribution   (Built-in Mathematica Symbol)
PolyaAeppliDistribution[\[Theta], p] represents a Polya\[Dash]Aeppli distribution with shape parameters \[Theta] and p.
Polygon   (Built-in Mathematica Symbol)
Polygon[{pt_1, pt_2, ...}] is a graphics primitive that represents a filled polygon. Polygon[{{pt_11, pt_12, ...}, {pt_21, ...}, ...}] represents a collection of polygons.
Advanced Manipulate Functionality   (Mathematica Tutorial)
This tutorial covers advanced features of the Manipulate command. It assumes that you have read "Introduction to Manipulate" and thus have a good idea what the command is for ...
Customization is an important part of Mathematica 's extensive data visualization capabilities. While the default settings for displaying points in a plot are suitable in ...
BSplineCurve   (Built-in Mathematica Symbol)
BSplineCurve[{pt_1, pt_2, ...}] is a graphics primitive that represents a non-uniform rational B-spline curve with control points pt_i.
InverseGammaDistribution   (Built-in Mathematica Symbol)
InverseGammaDistribution[\[Alpha], \[Beta]] represents an inverse gamma distribution with shape parameter \[Alpha] and scale parameter ...
InverseGaussianDistribution   (Built-in Mathematica Symbol)
InverseGaussianDistribution[\[Mu], \[Lambda]] represents an inverse Gaussian distribution with mean \[Mu] and scale parameter \[Lambda].InverseGaussianDistribution[\[Mu], ...
KnotData   (Built-in Mathematica Symbol)
KnotData[knot, " property"] gives the specified property for a knot.KnotData[knot] gives an image of the knot.KnotData["class"] gives a list of knots in the specified class.
Blend   (Built-in Mathematica Symbol)
Blend[{col_1, col_2}, x] gives a color obtained by blending a fraction 1 - x of color col_1 and x of color col_2.Blend[{col_1, col_2, col_3, ...}, x] linearly interpolates ...
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