Safe Haskell	Safe-Inferred
Language	Haskell2010

Data.Random.Distribution.Triangular

Synopsis

data Triangular a = Triangular {
- triLower :: a
- triMid :: a
- triUpper :: a
}
floatingTriangular :: (Floating a, Ord a, Distribution StdUniform a) => a -> a -> a -> RVarT m a
triangularCDF :: RealFrac a => a -> a -> a -> a -> Double

Documentation

data Triangular a Source #

A description of a triangular distribution - a distribution whose PDF is a triangle ramping up from a lower bound to a specified midpoint and back down to the upper bound. This is a very simple distribution that does not generally occur naturally but is used sometimes as an estimate of a true distribution when only the range of the values and an approximate mode of the true distribution are known.

Constructors

Triangular
Fields triLower :: a The lower bound of the triangle in the PDF (the smallest number the distribution can generate) triMid :: a The midpoint of the triangle (also the mode of the distribution) triUpper :: a The upper bound of the triangle (and the largest number the distribution can generate)

Instances

Instances details

(RealFrac a, Distribution Triangular a) => CDF Triangular a Source #
Instance details Defined in Data.Random.Distribution.Triangular Methods cdf :: Triangular a -> a -> Double Source #
(RealFloat a, Ord a, Distribution StdUniform a) => Distribution Triangular a Source #
Instance details Defined in Data.Random.Distribution.Triangular Methods rvar :: Triangular a -> RVar a Source # rvarT :: forall (n :: Type -> Type). Triangular a -> RVarT n a Source #
Show a => Show (Triangular a) Source #
Instance details Defined in Data.Random.Distribution.Triangular Methods showsPrec :: Int -> Triangular a -> ShowS # show :: Triangular a -> String # showList :: [Triangular a] -> ShowS #
Eq a => Eq (Triangular a) Source #
Instance details Defined in Data.Random.Distribution.Triangular Methods (==) :: Triangular a -> Triangular a -> Bool # (/=) :: Triangular a -> Triangular a -> Bool #

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

Compute a triangular distribution for a Floating type.

triangularCDF :: RealFrac a => a -> a -> a -> a -> Double Source #

triangularCDF a b c is the CDF of realFloatTriangular a b c.