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WishartDistribution   (Multivariate Statistics Package Symbol)
WishartDistribution[\[CapitalSigma], m] represents a Wishart distribution with scale matrix \[CapitalSigma] and degrees of freedom parameter m.
BetaNegativeBinomialDistribution   (Built-in Mathematica Symbol)
BetaNegativeBinomialDistribution[\[Alpha], \[Beta], n] represents a beta negative binomial mixture distribution with beta distribution parameters \[Alpha] and \[Beta], and n ...
DateString   (Built-in Mathematica Symbol)
DateString[] gives a string representing the complete current local date and time. DateString["elem"] gives the specified element or format for date and ...
FindSequenceFunction   (Built-in Mathematica Symbol)
FindSequenceFunction[{a_1, a_2, a_3, ...}] attempts to find a simple function that yields the sequence a_n when given successive integer arguments.FindSequenceFunction[{{n_1, ...
Function   (Built-in Mathematica Symbol)
Function[body] or body & is a pure function. The formal parameters are # (or #1), #2, etc. Function[x, body] is a pure function with a single formal parameter x. ...
PopupMenu   (Built-in Mathematica Symbol)
PopupMenu[x, {val_1, val_2, ...}] represents a popup menu with setting x and possible values val_i. PopupMenu[Dynamic[x], {val_1, ...}] takes the setting to be the ...
SetDelayed   (Built-in Mathematica Symbol)
lhs := rhs assigns rhs to be the delayed value of lhs. rhs is maintained in an unevaluated form. When lhs appears, it is replaced by rhs, evaluated afresh each time.
Creating Palettes   (Mathematica Tutorial)
Palettes are like extensions of your keyboard. They can be used to perform many actions in Mathematica, including entering typesetting characters, styling notebooks, and ...
DoubleStep Method for NDSolve   (Mathematica Tutorial)
The method "DoubleStep" performs a single application of Richardson's extrapolation for any one-step integration method. Although it is not always optimal, it is a general ...
ProbabilityDistribution   (Built-in Mathematica Symbol)
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 > ...
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