statistics-0.15.2.0: A library of statistical types, data, and functions

Copyright | (c) 2010 Alexey Khudyakov
License | BSD3
Maintainer | bos@serpentine.com
Stability | experimental
Portability | portable
Safe Haskell | None
Language | Haskell98

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

- data ChiSquared
- chiSquaredNDF :: ChiSquared -> Int
- chiSquared :: Int -> ChiSquared
- chiSquaredE :: Int -> Maybe ChiSquared

# Documentation

data ChiSquared Source #

Chi-squared distribution

#### Instances

Instances details

Eq ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared Methods (==) :: ChiSquared -> ChiSquared -> Bool (/=) :: ChiSquared -> ChiSquared -> Bool
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

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
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
ToJSON ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared Methods toJSON :: ChiSquared -> Value Source # toEncoding :: ChiSquared -> Encoding Source # toJSONList :: [ChiSquared] -> Value Source # toEncodingList :: [ChiSquared] -> Encoding Source #
FromJSON ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared Methods parseJSON :: Value -> Parser ChiSquared Source # parseJSONList :: Value -> Parser [ChiSquared] Source #
Binary ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared Methods put :: ChiSquared -> Put get :: Get ChiSquared putList :: [ChiSquared] -> Put
ContGen ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared Methods genContVar :: PrimMonad m => ChiSquared -> Gen (PrimState m) -> m 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 #
Variance ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared Methods variance :: ChiSquared -> Double Source # stdDev :: ChiSquared -> 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 #
MaybeMean ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared Methods maybeMean :: ChiSquared -> Maybe Double Source #
ContDistr ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared Methods density :: ChiSquared -> Double -> Double Source # quantile :: ChiSquared -> Double -> Double Source # complQuantile :: ChiSquared -> Double -> Double Source # logDensity :: ChiSquared -> Double -> Double Source #
Distribution ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared Methods cumulative :: ChiSquared -> Double -> Double Source # complCumulative :: ChiSquared -> Double -> Double Source #
type Rep ChiSquared Source # |
Instance details Defined in Statistics.Distribution.ChiSquared type Rep ChiSquared = D1 ('MetaData "ChiSquared" "Statistics.Distribution.ChiSquared" "statistics-0.15.2.0-92wBaNxgmOA5xkTCDK19kB" '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.