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StudentTDistribution   (Built-in Mathematica Symbol)
StudentTDistribution[\[Nu]] represents a Student t distribution with \[Nu] degrees of freedom.StudentTDistribution[\[Mu], \[Sigma], \[Nu]] represents a Student t distribution ...
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 ...
HypergeometricDistribution   (Built-in Mathematica Symbol)
HypergeometricDistribution[n, n_succ, n_tot] represents a hypergeometric distribution.
InverseGammaDistribution   (Built-in Mathematica Symbol)
InverseGammaDistribution[\[Alpha], \[Beta]] represents an inverse gamma distribution with shape parameter \[Alpha] and scale parameter ...
InverseGaussianDistribution   (Built-in Mathematica Symbol)
InverseGaussianDistribution[\[Mu], \[Lambda]] represents an inverse Gaussian distribution with mean \[Mu] and scale parameter \[Lambda].InverseGaussianDistribution[\[Mu], ...
CDF   (Built-in Mathematica Symbol)
CDF[dist, x] gives the cumulative distribution function for the symbolic distribution dist evaluated at x.CDF[dist, {x_1, x_2, ...}] gives the multivariate cumulative ...
Cumulant   (Built-in Mathematica Symbol)
Cumulant[dist, r] gives the r\[Null]^th cumulant of the symbolic distribution dist.Cumulant[list, r] gives the r\[Null]^th cumulant of the elements in the list.Cumulant[r] ...
InterquartileRange   (Built-in Mathematica Symbol)
InterquartileRange[list] gives the difference between the upper and lower quartiles for the elements in list.InterquartileRange[dist] gives the difference between the upper ...
InverseChiSquareDistribution   (Built-in Mathematica Symbol)
InverseChiSquareDistribution[\[Nu]] represents an inverse \[Chi]^2 distribution with \[Nu] degrees of freedom.InverseChiSquareDistribution[\[Nu], \[Xi]] represents a scaled ...
NegativeMultinomialDistribution   (Built-in Mathematica Symbol)
NegativeMultinomialDistribution[n, p] represents a negative multinomial distribution with parameter n and failure probability vector p.
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