1 - 10 of 138 for HazardFunctionSearch Results
HazardFunction   (Built-in Mathematica Symbol)
HazardFunction[dist, x] gives the hazard function for the symbolic distribution dist evaluated at x. TooltipBox[" "]HazardFunction[dist, {x_1, x_2, ...}] gives the ...
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 ...
Reliability   (Mathematica Guide)
Reliability of a component is the probability that it will function for a specified period of time. This is modeled as a lifetime distribution. A system built from ...
GompertzMakehamDistribution   (Built-in Mathematica Symbol)
GompertzMakehamDistribution[\[Lambda], \[Xi]] represents a Gompertz distribution with scale parameter \[Lambda] and frailty parameter \[Xi]. ...
RenewalProcess   (Built-in Mathematica Symbol)
RenewalProcess[rdist] represents a renewal process with interarrival times distributed according to rdist.
Random Variables   (Mathematica Guide)
A random variable unlike a normal variable doesn't have a specific value, but rather a range of values and a densitity that gives different probabilities of obtaining values ...
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]. 8+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.
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