| Copyright | (c) 2009 Bryan O'Sullivan |
|---|---|
| License | BSD3 |
| Maintainer | bos@serpentine.com |
| Stability | experimental |
| Portability | portable |
| Safe Haskell | None |
| Language | Haskell2010 |
Statistics.Distribution.Hypergeometric
Contents
Description
The Hypergeometric distribution. This is the discrete probability distribution that measures the probability of k successes in l trials, without replacement, from a finite population.
The parameters of the distribution describe k elements chosen from a population of l, with m elements of one type, and l-m of the other (all are positive integers).
Synopsis
- data HypergeometricDistribution
- hypergeometric :: Int -> Int -> Int -> HypergeometricDistribution
- hypergeometricE :: Int -> Int -> Int -> Maybe HypergeometricDistribution
- hdM :: HypergeometricDistribution -> Int
- hdL :: HypergeometricDistribution -> Int
- hdK :: HypergeometricDistribution -> Int
Documentation
data HypergeometricDistribution Source #
Instances
Instances details
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
parseJSON :: Value -> Parser HypergeometricDistribution #
parseJSONList :: Value -> Parser [HypergeometricDistribution] #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
toJSON :: HypergeometricDistribution -> Value #
toEncoding :: HypergeometricDistribution -> Encoding #
toJSONList :: [HypergeometricDistribution] -> Value #
toEncodingList :: [HypergeometricDistribution] -> Encoding #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> HypergeometricDistribution -> c HypergeometricDistribution #
gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c HypergeometricDistribution #
toConstr :: HypergeometricDistribution -> Constr #
dataTypeOf :: HypergeometricDistribution -> DataType #
dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c HypergeometricDistribution) #
dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c HypergeometricDistribution) #
gmapT :: (forall b. Data b => b -> b) -> HypergeometricDistribution -> HypergeometricDistribution #
gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> HypergeometricDistribution -> r #
gmapQr :: forall r r'. (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> HypergeometricDistribution -> r #
gmapQ :: (forall d. Data d => d -> u) -> HypergeometricDistribution -> [u] #
gmapQi :: Int -> (forall d. Data d => d -> u) -> HypergeometricDistribution -> u #
gmapM :: Monad m => (forall d. Data d => d -> m d) -> HypergeometricDistribution -> m HypergeometricDistribution #
gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> HypergeometricDistribution -> m HypergeometricDistribution #
gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> HypergeometricDistribution -> m HypergeometricDistribution #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Associated Types
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
from :: HypergeometricDistribution -> Rep HypergeometricDistribution x #
to :: Rep HypergeometricDistribution x -> HypergeometricDistribution #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
showsPrec :: Int -> HypergeometricDistribution -> ShowS #
show :: HypergeometricDistribution -> String #
showList :: [HypergeometricDistribution] -> ShowS #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
put :: HypergeometricDistribution -> Put #
get :: Get HypergeometricDistribution #
putList :: [HypergeometricDistribution] -> Put #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
(==) :: HypergeometricDistribution -> HypergeometricDistribution -> Bool #
(/=) :: HypergeometricDistribution -> HypergeometricDistribution -> Bool #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
probability :: HypergeometricDistribution -> Int -> Double Source #
logProbability :: HypergeometricDistribution -> Int -> Double Source #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
cumulative :: HypergeometricDistribution -> Double -> Double Source #
complCumulative :: HypergeometricDistribution -> Double -> Double Source #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
maybeEntropy :: HypergeometricDistribution -> Maybe Double Source #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
maybeVariance :: HypergeometricDistribution -> Maybe Double Source #
maybeStdDev :: HypergeometricDistribution -> Maybe Double Source #
Instance details
Defined in Statistics.Distribution.Hypergeometric
Methods
Instance details
Defined in Statistics.Distribution.Hypergeometric
Constructors
Accessors
hdM :: HypergeometricDistribution -> Int Source #
hdL :: HypergeometricDistribution -> Int Source #
hdK :: HypergeometricDistribution -> Int Source #