DistributionFitTest (Built-in Mathematica Symbol)

DistributionFitTest[data] tests whether data is normally distributed. DistributionFitTest[data, dist] tests whether data is distributed according to dist. ...

FactorialMoment (Built-in Mathematica Symbol)

FactorialMoment[list, r] gives the r\[Null]^th moment of the elements in the list.FactorialMoment[dist, r] gives the r\[Null]^th moment of the symbolic distribution ...

FourierDCT (Built-in Mathematica Symbol)

FourierDCT[list] finds the Fourier discrete cosine transform of a list of real numbers.FourierDCT[list, m] finds the Fourier discrete cosine transform of type m.

KumaraswamyDistribution (Built-in Mathematica Symbol)

KumaraswamyDistribution[\[Alpha], \[Beta]] represents a Kumaraswamy distribution with shape parameters \[Alpha] and \[Beta].

LogGammaDistribution (Built-in Mathematica Symbol)

LogGammaDistribution[\[Alpha], \[Beta], \[Mu]] represents a log-gamma distribution with shape parameters \[Alpha] and \[Beta] and location parameter \[Mu].

ParallelEvaluate (Built-in Mathematica Symbol)

ParallelEvaluate[expr] evaluates the expression expr on all available parallel kernels and returns the list of results obtained.ParallelEvaluate[expr, kernel] evaluates expr ...

StationaryWaveletTransform (Built-in Mathematica Symbol)

StationaryWaveletTransform[data] gives the stationary wavelet transform (SWT) of an array of data.StationaryWaveletTransform[data, wave] gives the stationary wavelet ...

Summary of New Features in 6.0 (Mathematica Guide)

Mathematica 6.0 fundamentally redefined Mathematica and introduced a major new paradigm for computation. Building on Mathematica's time-tested core symbolic architecture, ...

LiftingWaveletTransform (Built-in Mathematica Symbol)

LiftingWaveletTransform[data] gives the lifting wavelet transform (LWT) of an array of data.LiftingWaveletTransform[data, wave] gives the lifting wavelet transform using the ...

Plot3D (Built-in Mathematica Symbol)

Plot3D[f, {x, x_min, x_max}, {y, y_min, y_max}] generates a three-dimensional plot of f as a function of x and y. Plot3D[{f_1, f_2, ...}, {x, x_min, x_max}, {y, y_min, ...