statistics-0.16.2.0: A library of statistical types, data, and functions
Copyright(c) 2009 Bryan O'Sullivan
LicenseBSD3
Maintainerbos@serpentine.com
Stabilityexperimental
Portabilityportable
Safe HaskellSafe-Inferred
LanguageHaskell2010

Statistics.Distribution.Binomial

Description

The binomial distribution. This is the discrete probability distribution of the number of successes in a sequence of n independent yes/no experiments, each of which yields success with probability p.

Synopsis

Documentation

data BinomialDistribution Source #

The binomial distribution.

Instances

Instances details
FromJSON BinomialDistribution Source # 
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ToJSON BinomialDistribution Source # 
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Data BinomialDistribution Source # 
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Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> BinomialDistribution -> c BinomialDistribution #

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

toConstr :: BinomialDistribution -> Constr #

dataTypeOf :: BinomialDistribution -> DataType #

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

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

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

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

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

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

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

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

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

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

Generic BinomialDistribution Source # 
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Associated Types

type Rep BinomialDistribution :: Type -> Type #

Read BinomialDistribution Source # 
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Show BinomialDistribution Source # 
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Binary BinomialDistribution Source # 
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Eq BinomialDistribution Source # 
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DiscreteDistr BinomialDistribution Source # 
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Distribution BinomialDistribution Source # 
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Entropy BinomialDistribution Source # 
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MaybeEntropy BinomialDistribution Source # 
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MaybeMean BinomialDistribution Source # 
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MaybeVariance BinomialDistribution Source # 
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Mean BinomialDistribution Source # 
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Variance BinomialDistribution Source # 
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type Rep BinomialDistribution Source # 
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type Rep BinomialDistribution = D1 ('MetaData "BinomialDistribution" "Statistics.Distribution.Binomial" "statistics-0.16.2.0-Iazw6pxXVUYHaurUiPE2b2" 'False) (C1 ('MetaCons "BD" 'PrefixI 'True) (S1 ('MetaSel ('Just "bdTrials") 'SourceUnpack 'SourceStrict 'DecidedStrict) (Rec0 Int) :*: S1 ('MetaSel ('Just "bdProbability") 'SourceUnpack 'SourceStrict 'DecidedStrict) (Rec0 Double)))

Constructors

binomial Source #

Arguments

:: Int

Number of trials.

-> Double

Probability.

-> BinomialDistribution 

Construct binomial distribution. Number of trials must be non-negative and probability must be in [0,1] range

binomialE Source #

Arguments

:: Int

Number of trials.

-> Double

Probability.

-> Maybe BinomialDistribution 

Construct binomial distribution. Number of trials must be non-negative and probability must be in [0,1] range

Accessors

bdTrials :: BinomialDistribution -> Int Source #

Number of trials.