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

Statistics.Distribution.FDistribution

Contents

Constructors
Accessors

Description

Fisher F distribution

Synopsis

data FDistribution
fDistribution :: Int -> Int -> FDistribution
fDistributionE :: Int -> Int -> Maybe FDistribution
fDistributionReal :: Double -> Double -> FDistribution
fDistributionRealE :: Double -> Double -> Maybe FDistribution
fDistributionNDF1 :: FDistribution -> Double
fDistributionNDF2 :: FDistribution -> Double

Documentation

data FDistribution Source #

F distribution

Instances

Eq FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods (==) :: FDistribution -> FDistribution -> Bool # (/=) :: FDistribution -> FDistribution -> Bool #
Data FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> FDistribution -> c FDistribution # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c FDistribution # toConstr :: FDistribution -> Constr # dataTypeOf :: FDistribution -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c FDistribution) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c FDistribution) # gmapT :: (forall b. Data b => b -> b) -> FDistribution -> FDistribution # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> FDistribution -> r # gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> FDistribution -> r # gmapQ :: (forall d. Data d => d -> u) -> FDistribution -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> FDistribution -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> FDistribution -> m FDistribution # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> FDistribution -> m FDistribution # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> FDistribution -> m FDistribution #
Read FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods readsPrec :: Int -> ReadS FDistribution # readList :: ReadS [FDistribution] # readPrec :: ReadPrec FDistribution # readListPrec :: ReadPrec [FDistribution] #
Show FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods showsPrec :: Int -> FDistribution -> ShowS # show :: FDistribution -> String # showList :: [FDistribution] -> ShowS #
Generic FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Associated Types type Rep FDistribution :: Type -> Type # Methods from :: FDistribution -> Rep FDistribution x # to :: Rep FDistribution x -> FDistribution #
ToJSON FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods toJSON :: FDistribution -> Value # toEncoding :: FDistribution -> Encoding # toJSONList :: [FDistribution] -> Value # toEncodingList :: [FDistribution] -> Encoding #
FromJSON FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods parseJSON :: Value -> Parser FDistribution # parseJSONList :: Value -> Parser [FDistribution] #
Binary FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods put :: FDistribution -> Put # get :: Get FDistribution # putList :: [FDistribution] -> Put #
ContGen FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods genContVar :: PrimMonad m => FDistribution -> Gen (PrimState m) -> m Double Source #
Entropy FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods entropy :: FDistribution -> Double Source #
MaybeEntropy FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods maybeEntropy :: FDistribution -> Maybe Double Source #
MaybeVariance FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods maybeVariance :: FDistribution -> Maybe Double Source # maybeStdDev :: FDistribution -> Maybe Double Source #
MaybeMean FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods maybeMean :: FDistribution -> Maybe Double Source #
ContDistr FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods density :: FDistribution -> Double -> Double Source # quantile :: FDistribution -> Double -> Double Source # complQuantile :: FDistribution -> Double -> Double Source # logDensity :: FDistribution -> Double -> Double Source #
Distribution FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution Methods cumulative :: FDistribution -> Double -> Double Source # complCumulative :: FDistribution -> Double -> Double Source #
type Rep FDistribution Source #
Instance details Defined in Statistics.Distribution.FDistribution type Rep FDistribution = D1 (MetaData "FDistribution" "Statistics.Distribution.FDistribution" "statistics-0.15.2.0-FCVAYbUNN6k6ys2hOZ1wTy" False) (C1 (MetaCons "F" PrefixI True) (S1 (MetaSel (Just "fDistributionNDF1") SourceUnpack SourceStrict DecidedStrict) (Rec0 Double) :: (S1 (MetaSel (Just "fDistributionNDF2") SourceUnpack SourceStrict DecidedStrict) (Rec0 Double) :: S1 (MetaSel (Just "_pdfFactor") SourceUnpack SourceStrict DecidedStrict) (Rec0 Double))))

Constructors

fDistribution :: Int -> Int -> FDistribution Source #

fDistributionE :: Int -> Int -> Maybe FDistribution Source #

fDistributionReal :: Double -> Double -> FDistribution Source #

fDistributionRealE :: Double -> Double -> Maybe FDistribution Source #

Accessors

fDistributionNDF1 :: FDistribution -> Double Source #

fDistributionNDF2 :: FDistribution -> Double Source #