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InverseErf   (Built-in Mathematica Symbol)
InverseErf[s] gives the inverse error function obtained as the solution for z in s = erf(z).
Specularity   (Built-in Mathematica Symbol)
Specularity[s] is a graphics directive which specifies that surfaces of 3D graphics objects which follow are to be taken to have specularity s. Specularity[s, n] uses ...
ZipfDistribution   (Built-in Mathematica Symbol)
ZipfDistribution[\[Rho]] represents a zeta distribution with parameter \[Rho].ZipfDistribution[n, \[Rho]] represents a Zipf distribution with range n.
BinormalDistribution   (Built-in Mathematica Symbol)
BinormalDistribution[{\[Mu]_1, \[Mu]_2}, {\[Sigma]_1, \[Sigma]_\ 2}, \[Rho]] represents a bivariate normal distribution with mean {\[Mu]_1, \[Mu]_2} and covariance matrix ...
HistogramDistribution   (Built-in Mathematica Symbol)
HistogramDistribution[{x_1, x_2, ...}] represents the probability distribution corresponding to a histogram of the data values x_i.HistogramDistribution[{{x_1, y_1, ...}, ...
NormalDistribution   (Built-in Mathematica Symbol)
NormalDistribution[\[Mu], \[Sigma]] represents a normal (Gaussian) distribution with mean \[Mu] and standard deviation \[Sigma].NormalDistribution[] represents a normal ...
UniformDistribution   (Built-in Mathematica Symbol)
UniformDistribution[{min, max}] represents a continuous uniform statistical distribution giving values between min and max. UniformDistribution[] represents a uniform ...
WaveletListPlot   (Built-in Mathematica Symbol)
WaveletListPlot[dwd] plots wavelet transform coefficients in the DiscreteWaveletData dwd.WaveletListPlot[dwd, wind] plots wavelet transform coefficients corresponding to the ...
WeibullDistribution   (Built-in Mathematica Symbol)
WeibullDistribution[\[Alpha], \[Beta]] represents a Weibull distribution with shape parameter \[Alpha] and scale parameter \[Beta].WeibullDistribution[\[Alpha], \[Beta], ...
BatesDistribution   (Built-in Mathematica Symbol)
BatesDistribution[n] represents the distribution of a mean of n random variables uniformly distributed from 0 to 1.BatesDistribution[n, {min, max}] represents the ...
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