statistics-0.16.2.1: A library of statistical types, data, and functions
Copyright(c) 2009 2011 Bryan O'Sullivan
LicenseBSD3
Maintainerbos@serpentine.com
Stabilityexperimental
Portabilityportable
Safe HaskellNone
LanguageHaskell2010

Statistics.Distribution.Gamma

Description

The gamma distribution. This is a continuous probability distribution with two parameters, k and ϑ. If k is integral, the distribution represents the sum of k independent exponentially distributed random variables, each of which has a mean of ϑ.

Synopsis

Documentation

data GammaDistribution Source #

The gamma distribution.

Instances

Instances details
FromJSON GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

parseJSON :: Value -> Parser GammaDistribution

parseJSONList :: Value -> Parser [GammaDistribution]

omittedField :: Maybe GammaDistribution

ToJSON GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Data GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GammaDistribution -> c GammaDistribution

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GammaDistribution

toConstr :: GammaDistribution -> Constr

dataTypeOf :: GammaDistribution -> DataType

dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c GammaDistribution)

dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GammaDistribution)

gmapT :: (forall b. Data b => b -> b) -> GammaDistribution -> GammaDistribution

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GammaDistribution -> r

gmapQr :: forall r r'. (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GammaDistribution -> r

gmapQ :: (forall d. Data d => d -> u) -> GammaDistribution -> [u]

gmapQi :: Int -> (forall d. Data d => d -> u) -> GammaDistribution -> u

gmapM :: Monad m => (forall d. Data d => d -> m d) -> GammaDistribution -> m GammaDistribution

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GammaDistribution -> m GammaDistribution

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GammaDistribution -> m GammaDistribution

Generic GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Associated Types

type Rep GammaDistribution 
Instance details

Defined in Statistics.Distribution.Gamma

type Rep GammaDistribution = D1 ('MetaData "GammaDistribution" "Statistics.Distribution.Gamma" "statistics-0.16.2.1-GC0UmpORwJ8SU4BdSiJEf" 'False) (C1 ('MetaCons "GD" 'PrefixI 'True) (S1 ('MetaSel ('Just "gdShape") 'SourceUnpack 'SourceStrict 'DecidedStrict) (Rec0 Double) :*: S1 ('MetaSel ('Just "gdScale") 'SourceUnpack 'SourceStrict 'DecidedStrict) (Rec0 Double)))
Read GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Show GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

showsPrec :: Int -> GammaDistribution -> ShowS

show :: GammaDistribution -> String

showList :: [GammaDistribution] -> ShowS

Binary GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Eq GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

ContDistr GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

density :: GammaDistribution -> Double -> Double Source #

logDensity :: GammaDistribution -> Double -> Double Source #

quantile :: GammaDistribution -> Double -> Double Source #

complQuantile :: GammaDistribution -> Double -> Double Source #

ContGen GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

genContVar :: StatefulGen g m => GammaDistribution -> g -> m Double Source #

Distribution GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

cumulative :: GammaDistribution -> Double -> Double Source #

complCumulative :: GammaDistribution -> Double -> Double Source #

MaybeEntropy GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

maybeEntropy :: GammaDistribution -> Maybe Double Source #

MaybeMean GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

maybeMean :: GammaDistribution -> Maybe Double Source #

MaybeVariance GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

maybeVariance :: GammaDistribution -> Maybe Double Source #

maybeStdDev :: GammaDistribution -> Maybe Double Source #

Mean GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

Methods

mean :: GammaDistribution -> Double Source #

Variance GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

type Rep GammaDistribution Source # 
Instance details

Defined in Statistics.Distribution.Gamma

type Rep GammaDistribution = D1 ('MetaData "GammaDistribution" "Statistics.Distribution.Gamma" "statistics-0.16.2.1-GC0UmpORwJ8SU4BdSiJEf" 'False) (C1 ('MetaCons "GD" 'PrefixI 'True) (S1 ('MetaSel ('Just "gdShape") 'SourceUnpack 'SourceStrict 'DecidedStrict) (Rec0 Double) :*: S1 ('MetaSel ('Just "gdScale") 'SourceUnpack 'SourceStrict 'DecidedStrict) (Rec0 Double)))

Constructors

gammaDistr Source #

Arguments

:: Double

Shape parameter. k

-> Double

Scale parameter, ϑ.

-> GammaDistribution 

Create gamma distribution. Both shape and scale parameters must be positive.

gammaDistrE Source #

Arguments

:: Double

Shape parameter. k

-> Double

Scale parameter, ϑ.

-> Maybe GammaDistribution 

Create gamma distribution. Both shape and scale parameters must be positive.

improperGammaDistr Source #

Arguments

:: Double

Shape parameter. k

-> Double

Scale parameter, ϑ.

-> GammaDistribution 

Create gamma distribution. Both shape and scale parameters must be non-negative.

improperGammaDistrE Source #

Arguments

:: Double

Shape parameter. k

-> Double

Scale parameter, ϑ.

-> Maybe GammaDistribution 

Create gamma distribution. Both shape and scale parameters must be non-negative.

Accessors

gdShape :: GammaDistribution -> Double Source #

Shape parameter, k.

gdScale :: GammaDistribution -> Double Source #

Scale parameter, ϑ.