Set::setraw (Mathematica Message)

Set::setraw SetDelayed::setraw UpSet::setraw UpSetDelayed::setraw TagSet::setraw TagSetDelayed::setraw

Combinatorica` (Mathematica Compatibility Information)

As of Version 8, much of the functionality covered by Combinatorica has been implemented in the Mathematica kernel. BooleanAlgebra CodeToLabeledTree HasseDiagram ...

ND (Numerical Calculus Package Symbol)

ND[expr, x, x_0] gives a numerical approximation to the derivative of expr with respect to x at the point x_0.ND[expr, {x, n}, x_0] gives a numerical approximation to the ...

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 ...

ExponentialDistribution (Built-in Mathematica Symbol)

ExponentialDistribution[\[Lambda]] represents an exponential distribution with scale inversely proportional to parameter \[Lambda].

HyperbolicDistribution (Built-in Mathematica Symbol)

HyperbolicDistribution[\[Alpha], \[Beta], \[Delta], \[Mu]] represents a hyperbolic distribution with location parameter \[Mu], scale parameter \[Delta], shape parameter ...

JohnsonDistribution (Built-in Mathematica Symbol)

JohnsonDistribution["SB", \[Gamma], \[Delta], \[Mu], \[Sigma]] represents a bounded Johnson distribution with shape parameters \[Gamma], \[Delta], location parameter \[Mu], ...

NormalDistribution (Built-in Mathematica Symbol)

NormalDistribution[\[Mu], \[Sigma]] represents a normal (Gaussian) distribution with mean \[Mu] and standard deviation \[Sigma].NormalDistribution[] represents a normal ...

ParetoDistribution (Built-in Mathematica Symbol)

ParetoDistribution[k, \[Alpha]] represents a Pareto distribution with minimum value parameter k and shape parameter \[Alpha].ParetoDistribution[k, \[Alpha], \[Mu]] represents ...

StableDistribution (Built-in Mathematica Symbol)

StableDistribution[type, \[Alpha], \[Beta], \[Mu], \[Sigma]] represents the stable distribution S_type with index of stability \[Alpha], skewness parameter \[Beta], location ...