statistics-0.15.0.0: A library of statistical types, data, and functions

Copyright (c) 2009 2011 Bryan O'Sullivan BSD3 bos@serpentine.com experimental portable None Haskell98

Statistics.Distribution.Poisson

Contents

Description

The Poisson distribution. This is the discrete probability distribution of a number of events occurring in a fixed interval if these events occur with a known average rate, and occur independently from each other within that interval.

Synopsis

# Documentation

Instances
 Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methodsgfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> PoissonDistribution -> c PoissonDistribution #gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c PoissonDistribution #dataCast1 :: Typeable t => (forall d. Data d => c (t d)) -> Maybe (c PoissonDistribution) #dataCast2 :: Typeable t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c PoissonDistribution) #gmapT :: (forall b. Data b => b -> b) -> PoissonDistribution -> PoissonDistribution #gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> PoissonDistribution -> r #gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> PoissonDistribution -> r #gmapQ :: (forall d. Data d => d -> u) -> PoissonDistribution -> [u] #gmapQi :: Int -> (forall d. Data d => d -> u) -> PoissonDistribution -> u #gmapM :: Monad m => (forall d. Data d => d -> m d) -> PoissonDistribution -> m PoissonDistribution #gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> PoissonDistribution -> m PoissonDistribution #gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> PoissonDistribution -> m PoissonDistribution # Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Associated Typestype Rep PoissonDistribution :: * -> * # Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson MethodsputList :: [PoissonDistribution] -> Put # Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson Methods Source # Instance detailsDefined in Statistics.Distribution.Poisson type Rep PoissonDistribution = D1 (MetaData "PoissonDistribution" "Statistics.Distribution.Poisson" "statistics-0.15.0.0-AkglZgHZAgx3cdskkvnxTn" True) (C1 (MetaCons "PD" PrefixI True) (S1 (MetaSel (Just "poissonLambda") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 Double)))

# Constructors

Create Poisson distribution.

Create Poisson distribution.