Copyright | (c) 2009 Bryan O'Sullivan |
---|---|
License | BSD3 |
Maintainer | bos@serpentine.com |
Stability | experimental |
Portability | portable |
Safe Haskell | None |
Language | Haskell98 |
Statistics.Distribution.Normal
Contents
Description
The normal distribution. This is a continuous probability distribution that describes data that cluster around a mean.
- data NormalDistribution
- normalDistr :: Double -> Double -> NormalDistribution
- normalDistrE :: Double -> Double -> Maybe NormalDistribution
- standard :: NormalDistribution
Documentation
data NormalDistribution #
The normal distribution.
Instances
Eq NormalDistribution # | |
Data NormalDistribution # | |
Read NormalDistribution # | |
Show NormalDistribution # | |
Generic NormalDistribution # | |
ToJSON NormalDistribution # | |
FromJSON NormalDistribution # | |
Binary NormalDistribution # | |
ContGen NormalDistribution # | |
Entropy NormalDistribution # | |
MaybeEntropy NormalDistribution # | |
Variance NormalDistribution # | |
MaybeVariance NormalDistribution # | |
Mean NormalDistribution # | |
MaybeMean NormalDistribution # | |
ContDistr NormalDistribution # | |
Distribution NormalDistribution # | |
FromSample NormalDistribution Double # | Variance is estimated using maximum likelihood method (biased estimation). Returns |
type Rep NormalDistribution # | |
Constructors
Arguments
:: Double | Mean of distribution |
-> Double | Standard deviation of distribution |
-> NormalDistribution |
Create normal distribution from parameters.
IMPORTANT: prior to 0.10 release second parameter was variance not standard deviation.
Arguments
:: Double | Mean of distribution |
-> Double | Standard deviation of distribution |
-> Maybe NormalDistribution |
Create normal distribution from parameters.
IMPORTANT: prior to 0.10 release second parameter was variance not standard deviation.
standard :: NormalDistribution #
Standard normal distribution with mean equal to 0 and variance equal to 1