Copyright	(c) 2011 Aleksey Khudyakov
License	BSD3
Maintainer	bos@serpentine.com
Stability	experimental
Portability	portable
Safe Haskell	None
Language	Haskell98

Statistics.Distribution.Uniform

Contents

Constructors
- Accessors

Description

Variate distributed uniformly in the interval.

Synopsis

data UniformDistribution
uniformDistr :: Double -> Double -> UniformDistribution
uniformDistrE :: Double -> Double -> Maybe UniformDistribution
uniformA :: UniformDistribution -> Double
uniformB :: UniformDistribution -> Double

Documentation

data UniformDistribution Source #

Uniform distribution from A to B

Instances

Eq UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods (==) :: UniformDistribution -> UniformDistribution -> Bool # (/=) :: UniformDistribution -> UniformDistribution -> Bool #
Data UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> UniformDistribution -> c UniformDistribution # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c UniformDistribution # toConstr :: UniformDistribution -> Constr # dataTypeOf :: UniformDistribution -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c UniformDistribution) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c UniformDistribution) # gmapT :: (forall b. Data b => b -> b) -> UniformDistribution -> UniformDistribution # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> UniformDistribution -> r # gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> UniformDistribution -> r # gmapQ :: (forall d. Data d => d -> u) -> UniformDistribution -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> UniformDistribution -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> UniformDistribution -> m UniformDistribution # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> UniformDistribution -> m UniformDistribution # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> UniformDistribution -> m UniformDistribution #
Read UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods readsPrec :: Int -> ReadS UniformDistribution # readList :: ReadS [UniformDistribution] # readPrec :: ReadPrec UniformDistribution # readListPrec :: ReadPrec [UniformDistribution] #
Show UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods showsPrec :: Int -> UniformDistribution -> ShowS # show :: UniformDistribution -> String # showList :: [UniformDistribution] -> ShowS #
Generic UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Associated Types type Rep UniformDistribution :: Type -> Type # Methods from :: UniformDistribution -> Rep UniformDistribution x # to :: Rep UniformDistribution x -> UniformDistribution #
ToJSON UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods toJSON :: UniformDistribution -> Value # toEncoding :: UniformDistribution -> Encoding # toJSONList :: [UniformDistribution] -> Value # toEncodingList :: [UniformDistribution] -> Encoding #
FromJSON UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods parseJSON :: Value -> Parser UniformDistribution # parseJSONList :: Value -> Parser [UniformDistribution] #
Binary UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods put :: UniformDistribution -> Put # get :: Get UniformDistribution # putList :: [UniformDistribution] -> Put #
ContGen UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods genContVar :: PrimMonad m => UniformDistribution -> Gen (PrimState m) -> m Double Source #
Entropy UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods entropy :: UniformDistribution -> Double Source #
MaybeEntropy UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods maybeEntropy :: UniformDistribution -> Maybe Double Source #
Variance UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods variance :: UniformDistribution -> Double Source # stdDev :: UniformDistribution -> Double Source #
MaybeVariance UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods maybeVariance :: UniformDistribution -> Maybe Double Source # maybeStdDev :: UniformDistribution -> Maybe Double Source #
Mean UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods mean :: UniformDistribution -> Double Source #
MaybeMean UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods maybeMean :: UniformDistribution -> Maybe Double Source #
ContDistr UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods density :: UniformDistribution -> Double -> Double Source # quantile :: UniformDistribution -> Double -> Double Source # complQuantile :: UniformDistribution -> Double -> Double Source # logDensity :: UniformDistribution -> Double -> Double Source #
Distribution UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform Methods cumulative :: UniformDistribution -> Double -> Double Source # complCumulative :: UniformDistribution -> Double -> Double Source #
type Rep UniformDistribution Source #
Instance details Defined in Statistics.Distribution.Uniform type Rep UniformDistribution = D1 (MetaData "UniformDistribution" "Statistics.Distribution.Uniform" "statistics-0.15.2.0-FCVAYbUNN6k6ys2hOZ1wTy" False) (C1 (MetaCons "UniformDistribution" PrefixI True) (S1 (MetaSel (Just "uniformA") SourceUnpack SourceStrict DecidedStrict) (Rec0 Double) :*: S1 (MetaSel (Just "uniformB") SourceUnpack SourceStrict DecidedStrict) (Rec0 Double)))

Constructors

uniformDistr :: Double -> Double -> UniformDistribution Source #

Create uniform distribution.

uniformDistrE :: Double -> Double -> Maybe UniformDistribution Source #

Create uniform distribution.

Accessors

uniformA :: UniformDistribution -> Double Source #

Low boundary of distribution

uniformB :: UniformDistribution -> Double Source #

Upper boundary of distribution