statistics-0.15.0.0: A library of statistical types, data, and functions

Copyright(c) 2010 Alexey Khudyakov
LicenseBSD3
Maintainerbos@serpentine.com
Stabilityexperimental
Portabilityportable
Safe HaskellNone
LanguageHaskell98

Statistics.Distribution.ChiSquared

Contents

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 #

Chi-squared distribution

Instances
Eq ChiSquared # 
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Defined in Statistics.Distribution.ChiSquared

Data ChiSquared # 
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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 :: (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 #

Read ChiSquared # 
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Defined in Statistics.Distribution.ChiSquared

Show ChiSquared # 
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Generic ChiSquared # 
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Associated Types

type Rep ChiSquared :: Type -> Type #

ToJSON ChiSquared # 
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FromJSON ChiSquared # 
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Binary ChiSquared # 
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ContGen ChiSquared # 
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Methods

genContVar :: PrimMonad m => ChiSquared -> Gen (PrimState m) -> m Double #

Entropy ChiSquared # 
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Defined in Statistics.Distribution.ChiSquared

Methods

entropy :: ChiSquared -> Double #

MaybeEntropy ChiSquared # 
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Variance ChiSquared # 
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MaybeVariance ChiSquared # 
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Mean ChiSquared # 
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Defined in Statistics.Distribution.ChiSquared

Methods

mean :: ChiSquared -> Double #

MaybeMean ChiSquared # 
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ContDistr ChiSquared # 
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Distribution ChiSquared # 
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type Rep ChiSquared # 
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Defined in Statistics.Distribution.ChiSquared

type Rep ChiSquared = D1 (MetaData "ChiSquared" "Statistics.Distribution.ChiSquared" "statistics-0.15.0.0-KYJLg9h4jsl1bBm8KLc3A8" True) (C1 (MetaCons "ChiSquared" PrefixI True) (S1 (MetaSel (Just "chiSquaredNDF") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 Int)))

chiSquaredNDF :: ChiSquared -> Int #

Get number of degrees of freedom

Constructors

chiSquared :: Int -> ChiSquared #

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

chiSquaredE :: Int -> Maybe ChiSquared #

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