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

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
 # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared Methodsgfoldl :: (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 #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 # # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared MethodsshowList :: [ChiSquared] -> ShowS # # Instance detailsDefined in Statistics.Distribution.ChiSquared Associated Typestype Rep ChiSquared :: Type -> Type # Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared MethodstoJSONList :: [ChiSquared] -> Value # # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared MethodsputList :: [ChiSquared] -> Put # # Instance detailsDefined in Statistics.Distribution.ChiSquared MethodsgenContVar :: PrimMonad m => ChiSquared -> Gen (PrimState m) -> m Double # # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods # Instance detailsDefined in Statistics.Distribution.ChiSquared Methods type Rep ChiSquared # Instance detailsDefined 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)))

Get number of degrees of freedom

# Constructors

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

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