HazardFunction[dist, x] gives the hazard function for the symbolic distribution dist evaluated at x. TooltipBox[" "]HazardFunction[dist, {x_1, x_2, ...}] gives the ...

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 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[\[Lambda], \[Xi]] represents a Gompertz distribution with scale parameter \[Lambda] and frailty parameter \[Xi]. ...

RenewalProcess[rdist] represents a renewal process with interarrival times distributed according to rdist.

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[\[Alpha], \[Beta], \[Mu]] represents a log-gamma distribution with shape parameters \[Alpha] and \[Beta] and location parameter \[Mu].

InverseGaussianDistribution[\[Mu], \[Lambda]] represents an inverse Gaussian distribution with mean \[Mu] and scale parameter \[Lambda]. 8+InverseGaussianDistribution[\[Mu], ...

VonMisesDistribution[\[Mu], \[Kappa]] represents a von Mises distribution with mean \[Mu] and concentration \[Kappa].

SinghMaddalaDistribution[q, a, b] represents the Singh\[Dash]Maddala distribution with shape parameters q and a and scale parameter b.