statistics-0.13.3.0: A library of statistical types, data, and functions

Copyright(c) 2009 Bryan O'Sullivan
LicenseBSD3
Maintainerbos@serpentine.com
Stabilityexperimental
Portabilityportable
Safe HaskellNone
LanguageHaskell98

Statistics.Distribution.Binomial

Contents

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 #

The binomial distribution.

Instances

Eq BinomialDistribution # 
Data BinomialDistribution # 

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 :: (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 #

Read BinomialDistribution # 
Show BinomialDistribution # 
Generic BinomialDistribution # 
ToJSON BinomialDistribution # 
FromJSON BinomialDistribution # 
Binary BinomialDistribution # 
Entropy BinomialDistribution # 
MaybeEntropy BinomialDistribution # 
Variance BinomialDistribution # 
MaybeVariance BinomialDistribution # 
Mean BinomialDistribution # 
MaybeMean BinomialDistribution # 
DiscreteDistr BinomialDistribution # 
Distribution BinomialDistribution # 
type Rep BinomialDistribution # 
type Rep BinomialDistribution = D1 (MetaData "BinomialDistribution" "Statistics.Distribution.Binomial" "statistics-0.13.3.0-5G6LnnwwEAsBXhZQyOoIJ5" False) (C1 (MetaCons "BD" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "bdTrials") SourceUnpack SourceStrict DecidedUnpack) (Rec0 Int)) (S1 (MetaSel (Just Symbol "bdProbability") SourceUnpack SourceStrict DecidedUnpack) (Rec0 Double))))

Constructors

binomial #

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

Accessors

bdTrials :: BinomialDistribution -> Int #

Number of trials.