statistics-0.16.2.1: A library of statistical types, data, and functions
Copyright(c) 2010 Alexey Khudyakov
LicenseBSD3
Maintainerbos@serpentine.com
Stabilityexperimental
Portabilityportable
Safe HaskellSafe-Inferred
LanguageHaskell2010

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 Source #

Chi-squared distribution

Instances

Instances details
FromJSON ChiSquared Source # 
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Defined in Statistics.Distribution.ChiSquared

ToJSON ChiSquared Source # 
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Data ChiSquared Source # 
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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 :: 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 # 
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Defined in Statistics.Distribution.ChiSquared

Associated Types

type Rep ChiSquared :: Type -> Type #

Read ChiSquared Source # 
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Show ChiSquared Source # 
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Binary ChiSquared Source # 
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Eq ChiSquared Source # 
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ContDistr ChiSquared Source # 
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ContGen ChiSquared Source # 
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Methods

genContVar :: StatefulGen g m => ChiSquared -> g -> m Double Source #

Distribution ChiSquared Source # 
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Defined in Statistics.Distribution.ChiSquared

Entropy ChiSquared Source # 
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MaybeEntropy ChiSquared Source # 
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MaybeMean ChiSquared Source # 
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MaybeVariance ChiSquared Source # 
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Mean ChiSquared Source # 
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Variance ChiSquared Source # 
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type Rep ChiSquared Source # 
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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.