{-# LANGUAGE DeriveDataTypeable #-} -- | -- Module : Statistics.Distribution.CauchyLorentz -- Copyright : (c) 2011 Aleksey Khudyakov -- License : BSD3 -- -- Maintainer : bos@serpentine.com -- Stability : experimental -- Portability : portable -- -- The Cauchy-Lorentz distribution. It's also known as Lorentz -- distribution or Breit–Wigner distribution. -- -- It doesn't have mean and variance. module Statistics.Distribution.CauchyLorentz ( CauchyDistribution , cauchyDistribMedian , cauchyDistribScale -- * Constructors , cauchyDistribution , standardCauchy ) where import Data.Typeable (Typeable) import qualified Statistics.Distribution as D -- | Cauchy-Lorentz distribution. data CauchyDistribution = CD { -- | Central value of Cauchy-Lorentz distribution which is its -- mode and median. Distribution doesn't have mean so function -- is named after median. cauchyDistribMedian :: {-# UNPACK #-} !Double -- | Scale parameter of Cauchy-Lorentz distribution. It's -- different from variance and specify half width at half -- maximum (HWHM). , cauchyDistribScale :: {-# UNPACK #-} !Double } deriving (Eq,Show,Read,Typeable) -- | Cauchy distribution cauchyDistribution :: Double -- ^ Central point -> Double -- ^ Scale parameter (FWHM) -> CauchyDistribution cauchyDistribution m s | s > 0 = CD m s | otherwise = error $ "Statistics.Distribution.CauchyLorentz.cauchyDistribution: FWHM must be positive. Got " ++ show s standardCauchy :: CauchyDistribution standardCauchy = CD 0 1 instance D.Distribution CauchyDistribution where cumulative (CD m s) x = 0.5 + atan( (x - m) / s ) / pi instance D.ContDistr CauchyDistribution where density (CD m s) x = (1 / pi) / (s * (1 + y*y)) where y = (x - m) / s quantile (CD m s) p | p > 0 && p < 1 = m + s * tan( pi * (p - 0.5) ) | p == 0 = -1 / 0 | p == 1 = 1 / 0 | otherwise = error $ "Statistics.Distribution.CauchyLorentz..quantile: p must be in [0,1] range. Got: "++show p