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

Copyright (c) 2011 Aleksey Khudyakov BSD3 bos@serpentine.com experimental portable None Haskell98

Statistics.Distribution.StudentT

Description

Student-T distribution

Synopsis

# Documentation

data StudentT Source #

Student-T distribution

Instances

 Source # Methods Source # Methodsgfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> StudentT -> c StudentT #gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c StudentT #dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c StudentT) #dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c StudentT) #gmapT :: (forall b. Data b => b -> b) -> StudentT -> StudentT #gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> StudentT -> r #gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> StudentT -> r #gmapQ :: (forall d. Data d => d -> u) -> StudentT -> [u] #gmapQi :: Int -> (forall d. Data d => d -> u) -> StudentT -> u #gmapM :: Monad m => (forall d. Data d => d -> m d) -> StudentT -> m StudentT #gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> StudentT -> m StudentT #gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> StudentT -> m StudentT # Source # Methods Source # MethodsshowList :: [StudentT] -> ShowS # Source # Associated Typestype Rep StudentT :: * -> * # Methodsto :: Rep StudentT x -> StudentT # Source # Methods Source # Methods Source # Methodsput :: StudentT -> Put #putList :: [StudentT] -> Put # Source # MethodsgenContVar :: PrimMonad m => StudentT -> Gen (PrimState m) -> m Double Source # Source # Methods Source # Methods Source # Methods Source # Methods Source # Methods Source # Methods type Rep StudentT Source # type Rep StudentT = D1 (MetaData "StudentT" "Statistics.Distribution.StudentT" "statistics-0.13.3.0-4cjYwUsSjEQGDMfnb5oeqe" True) (C1 (MetaCons "StudentT" PrefixI True) (S1 (MetaSel (Just Symbol "studentTndf") NoSourceUnpackedness NoSourceStrictness DecidedLazy) (Rec0 Double)))

Create Student-T distribution. Number of parameters must be positive.

Arguments

 :: Double Number of degrees of freedom -> Double Central value (0 for standard Student T distribution) -> Double Scale parameter -> LinearTransform StudentT

Create an unstandardized Student-t distribution.