Safe Haskell	None
Language	Haskell2010

Data.Random.Distribution.Exponential

Synopsis

newtype Exponential a = Exp a
floatingExponential :: (Floating a, Distribution StdUniform a) => a -> RVarT m a
floatingExponentialCDF :: Real a => a -> a -> Double
exponential :: Distribution Exponential a => a -> RVar a
exponentialT :: Distribution Exponential a => a -> RVarT m a

Documentation

newtype Exponential a Source #

A definition of the exponential distribution over the type a.

Exp mu models an exponential distribution with mean mu. This can alternatively be viewed as an exponential distribution with parameter lambda = 1 / mu.

Instances

Instances details

(Real a, Distribution Exponential a) => CDF Exponential a Source #
Instance details Defined in Data.Random.Distribution.Exponential Methods cdf :: Exponential a -> a -> Double Source #
(Floating a, Distribution StdUniform a) => Distribution Exponential a Source #
Instance details Defined in Data.Random.Distribution.Exponential Methods rvar :: Exponential a -> RVar a Source # rvarT :: forall (n :: Type -> Type). Exponential a -> RVarT n a Source #

floatingExponential :: (Floating a, Distribution StdUniform a) => a -> RVarT m a Source #

floatingExponentialCDF :: Real a => a -> a -> Double Source #

exponential :: Distribution Exponential a => a -> RVar a Source #

A random variable which samples from the exponential distribution.

exponential mu is an exponential random variable with mean mu. This can alternatively be viewed as an exponential random variable with parameter lambda = 1 / mu.

exponentialT :: Distribution Exponential a => a -> RVarT m a Source #

A random variable transformer which samples from the exponential distribution.

exponentialT mu is an exponential random variable with mean mu. This can alternatively be viewed as an exponential random variable with parameter lambda = 1 / mu.