Copyright	(c) 2009 Bryan O'Sullivan
License	BSD3
Maintainer	bos@serpentine.com
Stability	experimental
Portability	portable
Safe Haskell	None
Language	Haskell98

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

Eq GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods (==) :: GeometricDistribution -> GeometricDistribution -> Bool # (/=) :: GeometricDistribution -> GeometricDistribution -> Bool #
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 :: (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 #
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 #
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 #
ToJSON GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods toJSON :: GeometricDistribution -> Value # toEncoding :: GeometricDistribution -> Encoding # toJSONList :: [GeometricDistribution] -> Value # toEncodingList :: [GeometricDistribution] -> Encoding #
FromJSON GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods parseJSON :: Value -> Parser GeometricDistribution # parseJSONList :: Value -> Parser [GeometricDistribution] #
Binary GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods put :: GeometricDistribution -> Put # get :: Get GeometricDistribution # putList :: [GeometricDistribution] -> Put #
DiscreteGen GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods genDiscreteVar :: PrimMonad m => GeometricDistribution -> Gen (PrimState m) -> m Int Source #
ContGen GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods genContVar :: PrimMonad m => GeometricDistribution -> Gen (PrimState m) -> m 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 #
Variance GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods variance :: GeometricDistribution -> Double Source # stdDev :: GeometricDistribution -> 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 #
MaybeMean GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods maybeMean :: GeometricDistribution -> Maybe Double Source #
DiscreteDistr GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods probability :: GeometricDistribution -> Int -> Double Source # logProbability :: GeometricDistribution -> Int -> Double Source #
Distribution GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric Methods cumulative :: GeometricDistribution -> Double -> Double Source # complCumulative :: GeometricDistribution -> Double -> Double Source #
type Rep GeometricDistribution Source #
Instance details Defined in Statistics.Distribution.Geometric type Rep GeometricDistribution = D1 (MetaData "GeometricDistribution" "Statistics.Distribution.Geometric" "statistics-0.15.2.0-FCVAYbUNN6k6ys2hOZ1wTy" True) (C1 (MetaCons "GD" PrefixI True) (S1 (MetaSel (Just "gdSuccess") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 Double)))

data GeometricDistribution0 Source #

Distribution over [0..]

Instances

Eq GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods (==) :: GeometricDistribution0 -> GeometricDistribution0 -> Bool # (/=) :: GeometricDistribution0 -> GeometricDistribution0 -> Bool #
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 :: (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 #
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 #
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 #
ToJSON GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods toJSON :: GeometricDistribution0 -> Value # toEncoding :: GeometricDistribution0 -> Encoding # toJSONList :: [GeometricDistribution0] -> Value # toEncodingList :: [GeometricDistribution0] -> Encoding #
FromJSON GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods parseJSON :: Value -> Parser GeometricDistribution0 # parseJSONList :: Value -> Parser [GeometricDistribution0] #
Binary GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods put :: GeometricDistribution0 -> Put # get :: Get GeometricDistribution0 # putList :: [GeometricDistribution0] -> Put #
DiscreteGen GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods genDiscreteVar :: PrimMonad m => GeometricDistribution0 -> Gen (PrimState m) -> m Int Source #
ContGen GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods genContVar :: PrimMonad m => GeometricDistribution0 -> Gen (PrimState m) -> m 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 #
Variance GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods variance :: GeometricDistribution0 -> Double Source # stdDev :: GeometricDistribution0 -> 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 #
MaybeMean GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods maybeMean :: GeometricDistribution0 -> Maybe Double Source #
DiscreteDistr GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods probability :: GeometricDistribution0 -> Int -> Double Source # logProbability :: GeometricDistribution0 -> Int -> Double Source #
Distribution GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric Methods cumulative :: GeometricDistribution0 -> Double -> Double Source # complCumulative :: GeometricDistribution0 -> Double -> Double Source #
type Rep GeometricDistribution0 Source #
Instance details Defined in Statistics.Distribution.Geometric type Rep GeometricDistribution0 = D1 (MetaData "GeometricDistribution0" "Statistics.Distribution.Geometric" "statistics-0.15.2.0-FCVAYbUNN6k6ys2hOZ1wTy" 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 #