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HazardFunction   (Built-in Mathematica Symbol)
HazardFunction[dist, x] gives the hazard function for the symbolic distribution dist evaluated at x.HazardFunction[dist, {x_1, x_2, ...}] gives the multivariate hazard ...
Statistical Distribution Functions   (Mathematica Guide)
There are a variety of ways to describe probability distributions such as probability density or mass, cumulative versions of density and mass, inverses of the cumulative ...
Probability & Statistics   (Mathematica Guide)
Probability and statistics are used to model uncertainty from a variety of sources, such as incomplete or simplified models. Yet you can build useful models for aggregate or ...
GompertzMakehamDistribution   (Built-in Mathematica Symbol)
GompertzMakehamDistribution[\[Lambda], \[Xi]] represents a Gompertz distribution with scale parameter \[Lambda] and frailty parameter ...
Mathematica 8 adds major new areas, including probability and statistics, graphs and networks, computational finance, control systems, wavelet analysis, and group theory. ...
LogGammaDistribution   (Built-in Mathematica Symbol)
LogGammaDistribution[\[Alpha], \[Beta], \[Mu]] represents a log-gamma distribution with shape parameters \[Alpha] and \[Beta] and location parameter \[Mu].
InverseGaussianDistribution   (Built-in Mathematica Symbol)
InverseGaussianDistribution[\[Mu], \[Lambda]] represents an inverse Gaussian distribution with mean \[Mu] and scale parameter \[Lambda].InverseGaussianDistribution[\[Mu], ...
VonMisesDistribution   (Built-in Mathematica Symbol)
VonMisesDistribution[\[Mu], \[Kappa]] represents a von Mises distribution with mean \[Mu] and concentration \[Kappa].
SinghMaddalaDistribution   (Built-in Mathematica Symbol)
SinghMaddalaDistribution[q, a, b] represents the Singh\[Dash]Maddala distribution with shape parameters q and a and scale parameter b.
DataDistribution   (Built-in Mathematica Symbol)
DataDistribution[ddist, ...] represents a probability distribution of type ddist, estimated from a set of data.
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