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MoyalDistribution   (Built-in Mathematica Symbol)
MoyalDistribution[\[Mu], \[Sigma]] represents a Moyal distribution with location parameter \[Mu] and scale parameter \[Sigma].
PowerDistribution   (Built-in Mathematica Symbol)
PowerDistribution[k, a] represents a power distribution with domain parameter k and shape parameter a.
SechDistribution   (Built-in Mathematica Symbol)
SechDistribution[\[Mu], \[Sigma]] represents the hyperbolic secant distribution with location parameter \[Mu] and scale parameter \[Sigma].
DensityHistogram   (Built-in Mathematica Symbol)
DensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}] plots a density histogram of the values {x_i, y_i}.DensityHistogram[{{x_1, y_1}, {x_2, y_2}, ...}, bspec] plots a density ...
RankedMax   (Built-in Mathematica Symbol)
RankedMax[list, n] gives the n\[Null]^th largest element in list.
RankedMin   (Built-in Mathematica Symbol)
RankedMin[list, n] gives the n\[Null]^th smallest element in list.
FractionalPart   (Built-in Mathematica Symbol)
FractionalPart[x] gives the fractional part of x.
LinearAlgebra`MatrixManipulation`   (Mathematica Compatibility Information)
AppendColumns, AppendRows, and BlockMatrix are available using the Mathematica kernel functions Join and ArrayFlatten. TakeRows, TakeColumns, TakeMatrix, and SubMatrix are ...
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 + \ ...)) ...
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 + \ ...
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