Copyright | (c) 2010 Alexey Khudyakov |
---|---|
License | BSD3 |
Maintainer | bos@serpentine.com |
Stability | experimental |
Portability | portable |
Safe Haskell | None |
Language | Haskell2010 |
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
- data ChiSquared
- chiSquaredNDF :: ChiSquared -> Int
- chiSquared :: Int -> ChiSquared
- chiSquaredE :: Int -> Maybe ChiSquared
Documentation
data ChiSquared Source #
Chi-squared distribution
Instances
FromJSON ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods parseJSON :: Value -> Parser ChiSquared parseJSONList :: Value -> Parser [ChiSquared] omittedField :: Maybe ChiSquared | |||||
ToJSON ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods toJSON :: ChiSquared -> Value toEncoding :: ChiSquared -> Encoding toJSONList :: [ChiSquared] -> Value toEncodingList :: [ChiSquared] -> Encoding omitField :: ChiSquared -> Bool | |||||
Data ChiSquared Source # | |||||
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 # | |||||
Defined in Statistics.Distribution.ChiSquared Associated Types
| |||||
Read ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods readsPrec :: Int -> ReadS ChiSquared readList :: ReadS [ChiSquared] readPrec :: ReadPrec ChiSquared readListPrec :: ReadPrec [ChiSquared] | |||||
Show ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods showsPrec :: Int -> ChiSquared -> ShowS show :: ChiSquared -> String showList :: [ChiSquared] -> ShowS | |||||
Binary ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared | |||||
Eq ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared | |||||
ContDistr ChiSquared Source # | |||||
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 # | |||||
Defined in Statistics.Distribution.ChiSquared Methods genContVar :: StatefulGen g m => ChiSquared -> g -> m Double Source # | |||||
Distribution ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods cumulative :: ChiSquared -> Double -> Double Source # complCumulative :: ChiSquared -> Double -> Double Source # | |||||
Entropy ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods entropy :: ChiSquared -> Double Source # | |||||
MaybeEntropy ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods maybeEntropy :: ChiSquared -> Maybe Double Source # | |||||
MaybeMean ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods maybeMean :: ChiSquared -> Maybe Double Source # | |||||
MaybeVariance ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods maybeVariance :: ChiSquared -> Maybe Double Source # maybeStdDev :: ChiSquared -> Maybe Double Source # | |||||
Mean ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared Methods mean :: ChiSquared -> Double Source # | |||||
Variance ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared | |||||
type Rep ChiSquared Source # | |||||
Defined in Statistics.Distribution.ChiSquared type Rep ChiSquared = D1 ('MetaData "ChiSquared" "Statistics.Distribution.ChiSquared" "statistics-0.16.2.1-GC0UmpORwJ8SU4BdSiJEf" '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.