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MomentGeneratingFunction   (Built-in Mathematica Symbol)
MomentGeneratingFunction[dist, t] gives the moment generating function for the symbolic distribution dist as a function of the variable t. MomentGeneratingFunction[dist, ...
Mathematica Scripts   (Mathematica Tutorial)
A Mathematica script is simply a file containing Mathematica commands that you would normally evaluate sequentially in a Mathematica session. Writing a script is useful if ...
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 ...
LaplaceDistribution   (Built-in Mathematica Symbol)
LaplaceDistribution[\[Mu], \[Beta]] represents a Laplace double-exponential distribution with mean \[Mu] and scale parameter \[Beta].
TukeyLambdaDistribution   (Built-in Mathematica Symbol)
TukeyLambdaDistribution[\[Lambda]] represents Tukey's lambda distribution with shape parameter \[Lambda].TukeyLambdaDistribution[\[Lambda], \[Mu], \[Sigma]] represents ...
Moment   (Built-in Mathematica Symbol)
Moment[list, r] gives the r\[Null]^th sample moment of the elements in list.Moment[dist, r] gives the r\[Null]^th moment of the symbolic distribution dist.Moment[..., {r_1, ...
CharacteristicFunction   (Built-in Mathematica Symbol)
CharacteristicFunction[dist, t] gives the characteristic function for the symbolic distribution dist as a function of the variable t.CharacteristicFunction[dist, {t_1, t_2, ...
WienerFilter   (Built-in Mathematica Symbol)
WienerFilter[image, r] removes noise from image by applying a range-r Wiener filter.WienerFilter[image, r, ns] assumes an additive noise power value ns.
HyperbolicDistribution   (Built-in Mathematica Symbol)
HyperbolicDistribution[\[Alpha], \[Beta], \[Delta], \[Mu]] represents a hyperbolic distribution with location parameter \[Mu], scale parameter \[Delta], shape parameter ...
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 ...
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