statistics-0.16.1.2: A library of statistical types, data, and functions
Copyright (c) 2009 Bryan O'Sullivan
License BSD3
Maintainer bos@serpentine.com
Stability experimental
Portability portable
Safe Haskell None
Language Haskell2010

Statistics.Distribution.Hypergeometric

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

Documentation

data HypergeometricDistribution Source #

Instances

Instances details
Eq HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

(==) :: HypergeometricDistribution -> HypergeometricDistribution -> Bool Source #

(/=) :: HypergeometricDistribution -> HypergeometricDistribution -> Bool Source #

Data HypergeometricDistribution Source #
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 Source #

gunfold :: ( forall b r. Data b => c (b -> r) -> c r) -> ( forall r. r -> c r) -> Constr -> c HypergeometricDistribution Source #

toConstr :: HypergeometricDistribution -> Constr Source #

dataTypeOf :: HypergeometricDistribution -> DataType Source #

dataCast1 :: Typeable t => ( forall d. Data d => c (t d)) -> Maybe (c HypergeometricDistribution ) Source #

dataCast2 :: Typeable t => ( forall d e. ( Data d, Data e) => c (t d e)) -> Maybe (c HypergeometricDistribution ) Source #

gmapT :: ( forall b. Data b => b -> b) -> HypergeometricDistribution -> HypergeometricDistribution Source #

gmapQl :: (r -> r' -> r) -> r -> ( forall d. Data d => d -> r') -> HypergeometricDistribution -> r Source #

gmapQr :: forall r r'. (r' -> r -> r) -> r -> ( forall d. Data d => d -> r') -> HypergeometricDistribution -> r Source #

gmapQ :: ( forall d. Data d => d -> u) -> HypergeometricDistribution -> [u] Source #

gmapQi :: Int -> ( forall d. Data d => d -> u) -> HypergeometricDistribution -> u Source #

gmapM :: Monad m => ( forall d. Data d => d -> m d) -> HypergeometricDistribution -> m HypergeometricDistribution Source #

gmapMp :: MonadPlus m => ( forall d. Data d => d -> m d) -> HypergeometricDistribution -> m HypergeometricDistribution Source #

gmapMo :: MonadPlus m => ( forall d. Data d => d -> m d) -> HypergeometricDistribution -> m HypergeometricDistribution Source #

Read HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

readsPrec :: Int -> ReadS HypergeometricDistribution Source #

readList :: ReadS [ HypergeometricDistribution ] Source #

readPrec :: ReadPrec HypergeometricDistribution Source #

readListPrec :: ReadPrec [ HypergeometricDistribution ] Source #

Show HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

showsPrec :: Int -> HypergeometricDistribution -> ShowS Source #

show :: HypergeometricDistribution -> String Source #

showList :: [ HypergeometricDistribution ] -> ShowS Source #

Generic HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Associated Types

type Rep HypergeometricDistribution :: Type -> Type Source #

Methods

from :: HypergeometricDistribution -> Rep HypergeometricDistribution x Source #

to :: Rep HypergeometricDistribution x -> HypergeometricDistribution Source #

ToJSON HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

toJSON :: HypergeometricDistribution -> Value Source #

toEncoding :: HypergeometricDistribution -> Encoding Source #

toJSONList :: [ HypergeometricDistribution ] -> Value Source #

toEncodingList :: [ HypergeometricDistribution ] -> Encoding Source #

FromJSON HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

parseJSON :: Value -> Parser HypergeometricDistribution Source #

parseJSONList :: Value -> Parser [ HypergeometricDistribution ] Source #

Binary HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

put :: HypergeometricDistribution -> Put Source #

get :: Get HypergeometricDistribution Source #

putList :: [ HypergeometricDistribution ] -> Put Source #

Entropy HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

entropy :: HypergeometricDistribution -> Double Source #

MaybeEntropy HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

maybeEntropy :: HypergeometricDistribution -> Maybe Double Source #

Variance HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

variance :: HypergeometricDistribution -> Double Source #

stdDev :: HypergeometricDistribution -> Double Source #

MaybeVariance HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

maybeVariance :: HypergeometricDistribution -> Maybe Double Source #

maybeStdDev :: HypergeometricDistribution -> Maybe Double Source #

Mean HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

mean :: HypergeometricDistribution -> Double Source #

MaybeMean HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

maybeMean :: HypergeometricDistribution -> Maybe Double Source #

DiscreteDistr HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

probability :: HypergeometricDistribution -> Int -> Double Source #

logProbability :: HypergeometricDistribution -> Int -> Double Source #

Distribution HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

Methods

cumulative :: HypergeometricDistribution -> Double -> Double Source #

complCumulative :: HypergeometricDistribution -> Double -> Double Source #

type Rep HypergeometricDistribution Source #
Instance details

Defined in Statistics.Distribution.Hypergeometric

type Rep HypergeometricDistribution = D1 (' MetaData "HypergeometricDistribution" "Statistics.Distribution.Hypergeometric" "statistics-0.16.1.2-IkOne9g3oJ1vhHVSRLPUO" ' False ) ( C1 (' MetaCons "HD" ' PrefixI ' True ) ( S1 (' MetaSel (' Just "hdM") ' SourceUnpack ' SourceStrict ' DecidedStrict ) ( Rec0 Int ) :*: ( S1 (' MetaSel (' Just "hdL") ' SourceUnpack ' SourceStrict ' DecidedStrict ) ( Rec0 Int ) :*: S1 (' MetaSel (' Just "hdK") ' SourceUnpack ' SourceStrict ' DecidedStrict ) ( Rec0 Int ))))

Constructors

hypergeometric Source #

Arguments

:: Int

m

-> Int

l

-> Int

k

-> HypergeometricDistribution

hypergeometricE Source #

Arguments

:: Int

m

-> Int

l

-> Int

k

-> Maybe HypergeometricDistribution

Accessors

hdM :: HypergeometricDistribution -> Int Source #

hdL :: HypergeometricDistribution -> Int Source #

hdK :: HypergeometricDistribution -> Int Source #