Copyright	(c) 2010 Alexey Khudyakov
License	BSD3
Maintainer	bos@serpentine.com
Stability	experimental
Portability	portable
Safe Haskell	Safe-Inferred
Language	Haskell2010

Statistics.Distribution.ChiSquared

Contents

Constructors

Description

The chi-squared distribution. This is a continuous probability distribution of sum of squares of k independent standard normal distributions. It's commonly used in statistical tests

Synopsis

Documentation

data ChiSquared Source #

Chi-squared distribution

Instances

Instances details

FromJSON ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods parseJSON :: Value -> Parser ChiSquared # parseJSONList :: Value -> Parser [ChiSquared] #
ToJSON ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods toJSON :: ChiSquared -> Value # toEncoding :: ChiSquared -> Encoding # toJSONList :: [ChiSquared] -> Value # toEncodingList :: [ChiSquared] -> Encoding #
Data ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> ChiSquared -> c ChiSquared # gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c ChiSquared # toConstr :: ChiSquared -> Constr # dataTypeOf :: ChiSquared -> DataType # dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c ChiSquared) # dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c ChiSquared) # gmapT :: (forall b. Data b => b -> b) -> ChiSquared -> ChiSquared # gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> ChiSquared -> r # gmapQr :: forall r r'. (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> ChiSquared -> r # gmapQ :: (forall d. Data d => d -> u) -> ChiSquared -> [u] # gmapQi :: Int -> (forall d. Data d => d -> u) -> ChiSquared -> u # gmapM :: Monad m => (forall d. Data d => d -> m d) -> ChiSquared -> m ChiSquared # gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> ChiSquared -> m ChiSquared # gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> ChiSquared -> m ChiSquared #
Generic ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Associated Types type Rep ChiSquared :: Type -> Type # Methods from :: ChiSquared -> Rep ChiSquared x # to :: Rep ChiSquared x -> ChiSquared #
Read ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods readsPrec :: Int -> ReadS ChiSquared # readList :: ReadS [ChiSquared] # readPrec :: ReadPrec ChiSquared # readListPrec :: ReadPrec [ChiSquared] #
Show ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods showsPrec :: Int -> ChiSquared -> ShowS # show :: ChiSquared -> String # showList :: [ChiSquared] -> ShowS #
Binary ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods put :: ChiSquared -> Put # get :: Get ChiSquared # putList :: [ChiSquared] -> Put #
Eq ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods (==) :: ChiSquared -> ChiSquared -> Bool # (/=) :: ChiSquared -> ChiSquared -> Bool #
ContDistr ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods density :: ChiSquared -> Double -> Double Source # logDensity :: ChiSquared -> Double -> Double Source # quantile :: ChiSquared -> Double -> Double Source # complQuantile :: ChiSquared -> Double -> Double Source #
ContGen ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods genContVar :: StatefulGen g m => ChiSquared -> g -> m Double Source #
Distribution ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods cumulative :: ChiSquared -> Double -> Double Source # complCumulative :: ChiSquared -> Double -> Double Source #
Entropy ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods entropy :: ChiSquared -> Double Source #
MaybeEntropy ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods maybeEntropy :: ChiSquared -> Maybe Double Source #
MaybeMean ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods maybeMean :: ChiSquared -> Maybe Double Source #
MaybeVariance ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods maybeVariance :: ChiSquared -> Maybe Double Source # maybeStdDev :: ChiSquared -> Maybe Double Source #
Mean ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods mean :: ChiSquared -> Double Source #
Variance ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared Methods variance :: ChiSquared -> Double Source # stdDev :: ChiSquared -> Double Source #
type Rep ChiSquared Source #
Instance details Defined in Statistics.Distribution.ChiSquared type Rep ChiSquared = D1 ('MetaData "ChiSquared" "Statistics.Distribution.ChiSquared" "statistics-0.16.2.1-34qObKIlIVGJpKYv9daW0Y" 'True) (C1 ('MetaCons "ChiSquared" 'PrefixI 'True) (S1 ('MetaSel ('Just "chiSquaredNDF") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Int)))

chiSquaredNDF :: ChiSquared -> Int Source #

Get number of degrees of freedom

Constructors

chiSquared :: Int -> ChiSquared Source #

Construct chi-squared distribution. Number of degrees of freedom must be positive.

chiSquaredE :: Int -> Maybe ChiSquared Source #

Construct chi-squared distribution. Number of degrees of freedom must be positive.