RandomVariate (Built-in Mathematica Symbol)

RandomVariate[dist] gives a pseudorandom variate from the symbolic distribution dist.RandomVariate[dist, n] gives a list of n pseudorandom variates from the symbolic ...

StationaryWaveletPacketTransform (Built-in Mathematica Symbol)

StationaryWaveletPacketTransform[data] gives the stationary wavelet packet transform (SWPT) of an array of data.StationaryWaveletPacketTransform[data, wave] gives the ...

Make Mathematica Speak (Mathematica How To)

Starting in Version 7, Mathematica includes expression-to-speech functionality. In principle, any Mathematica expression can be translated in this way.

BiorthogonalSplineWavelet (Built-in Mathematica Symbol)

BiorthogonalSplineWavelet[] represents a biorthogonal spline wavelet of order 4 and dual order 2.BiorthogonalSplineWavelet[n, m] represents a biorthogonal spline wavelet of ...

BooleanFunction (Built-in Mathematica Symbol)

BooleanFunction[k, n] represents the k\[Null]^th Boolean function in n variables.BooleanFunction[values] represents the Boolean function corresponding to the specified vector ...

CentralMoment (Built-in Mathematica Symbol)

CentralMoment[list, r] gives the r\[Null]^th central moment of the elements in list with respect to their mean.CentralMoment[dist, r] gives the r\[Null]^th central moment of ...

LineBreakChart (Built-in Mathematica Symbol)

LineBreakChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a line break chart with prices p_i at date date_i.LineBreakChart[{" name", daterange}] makes a line break chart of ...

LogitModelFit (Built-in Mathematica Symbol)

LogitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial logistic regression model of the form 1/(1 + E -(\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...)) ...

PERTDistribution (Built-in Mathematica Symbol)

PERTDistribution[{min, max}, c] represents a PERT distribution with range min to max and maximum at c.PERTDistribution[{min, max}, c, \[Lambda]] represents a modified PERT ...

ProbitModelFit (Built-in Mathematica Symbol)

ProbitModelFit[{y_1, y_2, ...}, {f_1, f_2, ...}, x] constructs a binomial probit regression model of the form 1/2 (1 + erf((\[Beta]_0 + \[Beta]_1 f_1 + \[Beta]_2 f_2 + \ ...