Copyright	(c) 2009 Bryan O'Sullivan
License	BSD3
Maintainer	bos@serpentine.com
Stability	experimental
Portability	portable
Safe Haskell	Safe-Inferred
Language	Haskell2010

Statistics.Distribution.Geometric

Contents

Constructors
- Accessors

Description

The Geometric distribution. There are two variants of distribution. First is the probability distribution of the number of Bernoulli trials needed to get one success, supported on the set 1,2... Sometimes it's referred to as the shifted geometric distribution to distinguish from another one.

Second variant is probability distribution of the number of failures before first success, defined over the set 0,1...

Synopsis

Documentation

data GeometricDistribution Source #

Distribution over [1..]

Instances

Instances details

FromJSON GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods parseJSON :: Value -> Parser GeometricDistribution Source # parseJSONList :: Value -> Parser [GeometricDistribution] Source #
ToJSON GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods toJSON :: GeometricDistribution -> Value Source # toEncoding :: GeometricDistribution -> Encoding Source # toJSONList :: [GeometricDistribution] -> Value Source # toEncodingList :: [GeometricDistribution] -> Encoding Source #
Data GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GeometricDistribution -> c GeometricDistribution # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GeometricDistribution # toConstr :: GeometricDistribution -> Constr # dataTypeOf :: GeometricDistribution -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c GeometricDistribution) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GeometricDistribution) # gmapT :: (forall b. Data b => b -> b) -> GeometricDistribution -> GeometricDistribution # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GeometricDistribution -> r # gmapQr :: forall r r'. (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GeometricDistribution -> r # gmapQ :: (forall d. Data d => d -> u) -> GeometricDistribution -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> GeometricDistribution -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> GeometricDistribution -> m GeometricDistribution # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GeometricDistribution -> m GeometricDistribution # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GeometricDistribution -> m GeometricDistribution #
Generic GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Associated Types type Rep GeometricDistribution :: Type -> Type # Methods from :: GeometricDistribution -> Rep GeometricDistribution x # to :: Rep GeometricDistribution x -> GeometricDistribution #
Read GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods readsPrec :: Int -> ReadS GeometricDistribution # readList :: ReadS [GeometricDistribution] # readPrec :: ReadPrec GeometricDistribution # readListPrec :: ReadPrec [GeometricDistribution] #
Show GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods showsPrec :: Int -> GeometricDistribution -> ShowS # show :: GeometricDistribution -> String # showList :: [GeometricDistribution] -> ShowS #
Binary GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods put :: GeometricDistribution -> Put # get :: Get GeometricDistribution # putList :: [GeometricDistribution] -> Put #
Eq GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods (==) :: GeometricDistribution -> GeometricDistribution -> Bool # (/=) :: GeometricDistribution -> GeometricDistribution -> Bool #
ContGen GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods genContVar :: StatefulGen g m => GeometricDistribution -> g -> m Double Source #
DiscreteDistr GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods probability :: GeometricDistribution -> Int -> Double Source # logProbability :: GeometricDistribution -> Int -> Double Source #
DiscreteGen GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods genDiscreteVar :: StatefulGen g m => GeometricDistribution -> g -> m Int Source #
Distribution GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods cumulative :: GeometricDistribution -> Double -> Double Source # complCumulative :: GeometricDistribution -> Double -> Double Source #
Entropy GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods entropy :: GeometricDistribution -> Double Source #
MaybeEntropy GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods maybeEntropy :: GeometricDistribution -> Maybe Double Source #
MaybeMean GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods maybeMean :: GeometricDistribution -> Maybe Double Source #
MaybeVariance GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods maybeVariance :: GeometricDistribution -> Maybe Double Source # maybeStdDev :: GeometricDistribution -> Maybe Double Source #
Mean GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods mean :: GeometricDistribution -> Double Source #
Variance GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods variance :: GeometricDistribution -> Double Source # stdDev :: GeometricDistribution -> Double Source #
type Rep GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric type Rep GeometricDistribution = D1 ('MetaData "GeometricDistribution" "Statistics.Distribution.Geometric" "statistics-0.16.2.1-3pqcJx3Latt5dz24Y5Wwoa" 'True) (C1 ('MetaCons "GD" 'PrefixI 'True) (S1 ('MetaSel ('Just "gdSuccess") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Double)))

data GeometricDistribution0 Source #

Distribution over [0..]

Instances

Instances details

FromJSON GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods parseJSON :: Value -> Parser GeometricDistribution0 Source # parseJSONList :: Value -> Parser [GeometricDistribution0] Source #
ToJSON GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods toJSON :: GeometricDistribution0 -> Value Source # toEncoding :: GeometricDistribution0 -> Encoding Source # toJSONList :: [GeometricDistribution0] -> Value Source # toEncodingList :: [GeometricDistribution0] -> Encoding Source #
Data GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> GeometricDistribution0 -> c GeometricDistribution0 # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c GeometricDistribution0 # toConstr :: GeometricDistribution0 -> Constr # dataTypeOf :: GeometricDistribution0 -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c GeometricDistribution0) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c GeometricDistribution0) # gmapT :: (forall b. Data b => b -> b) -> GeometricDistribution0 -> GeometricDistribution0 # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> GeometricDistribution0 -> r # gmapQr :: forall r r'. (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> GeometricDistribution0 -> r # gmapQ :: (forall d. Data d => d -> u) -> GeometricDistribution0 -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> GeometricDistribution0 -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> GeometricDistribution0 -> m GeometricDistribution0 # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> GeometricDistribution0 -> m GeometricDistribution0 # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> GeometricDistribution0 -> m GeometricDistribution0 #
Generic GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Associated Types type Rep GeometricDistribution0 :: Type -> Type # Methods from :: GeometricDistribution0 -> Rep GeometricDistribution0 x # to :: Rep GeometricDistribution0 x -> GeometricDistribution0 #
Read GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods readsPrec :: Int -> ReadS GeometricDistribution0 # readList :: ReadS [GeometricDistribution0] # readPrec :: ReadPrec GeometricDistribution0 # readListPrec :: ReadPrec [GeometricDistribution0] #
Show GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods showsPrec :: Int -> GeometricDistribution0 -> ShowS # show :: GeometricDistribution0 -> String # showList :: [GeometricDistribution0] -> ShowS #
Binary GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods put :: GeometricDistribution0 -> Put # get :: Get GeometricDistribution0 # putList :: [GeometricDistribution0] -> Put #
Eq GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods (==) :: GeometricDistribution0 -> GeometricDistribution0 -> Bool # (/=) :: GeometricDistribution0 -> GeometricDistribution0 -> Bool #
ContGen GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods genContVar :: StatefulGen g m => GeometricDistribution0 -> g -> m Double Source #
DiscreteDistr GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods probability :: GeometricDistribution0 -> Int -> Double Source # logProbability :: GeometricDistribution0 -> Int -> Double Source #
DiscreteGen GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods genDiscreteVar :: StatefulGen g m => GeometricDistribution0 -> g -> m Int Source #
Distribution GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods cumulative :: GeometricDistribution0 -> Double -> Double Source # complCumulative :: GeometricDistribution0 -> Double -> Double Source #
Entropy GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods entropy :: GeometricDistribution0 -> Double Source #
MaybeEntropy GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods maybeEntropy :: GeometricDistribution0 -> Maybe Double Source #
MaybeMean GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods maybeMean :: GeometricDistribution0 -> Maybe Double Source #
MaybeVariance GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods maybeVariance :: GeometricDistribution0 -> Maybe Double Source # maybeStdDev :: GeometricDistribution0 -> Maybe Double Source #
Mean GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods mean :: GeometricDistribution0 -> Double Source #
Variance GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods variance :: GeometricDistribution0 -> Double Source # stdDev :: GeometricDistribution0 -> Double Source #
type Rep GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric type Rep GeometricDistribution0 = D1 ('MetaData "GeometricDistribution0" "Statistics.Distribution.Geometric" "statistics-0.16.2.1-3pqcJx3Latt5dz24Y5Wwoa" 'True) (C1 ('MetaCons "GD0" 'PrefixI 'True) (S1 ('MetaSel ('Just "gdSuccess0") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Double)))

Constructors

geometric Source #

Arguments

:: Double	Success rate
-> GeometricDistribution

Create geometric distribution.

geometricE Source #

Arguments

:: Double	Success rate
-> Maybe GeometricDistribution

Create geometric distribution.

geometric0 Source #

Arguments

:: Double	Success rate
-> GeometricDistribution0

Create geometric distribution.

geometric0E Source #

Arguments

:: Double	Success rate
-> Maybe GeometricDistribution0

Create geometric distribution.

Accessors

gdSuccess :: GeometricDistribution -> Double Source #

gdSuccess0 :: GeometricDistribution0 -> Double Source #