| Safe Haskell | None |
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HLearn.Models.Distributions.Univariate.Exponential
Description
The method of moments can be used to estimate a number of commonly used distributions. This module is still under construction as I work out the best way to handle morphisms from the Moments3 type to types of other distributions. For more information, see the wikipedia entry: https://en.wikipedia.org/wiki/Method_of_moments_(statistics)
Documentation
data Exponential prob Source
Instances
| Eq prob => Eq (Exponential prob) | |
| Ord prob => Ord (Exponential prob) | |
| Read prob => Read (Exponential prob) | |
| Show prob => Show (Exponential prob) | |
| Num prob => Monoid (Exponential prob) | |
| Num prob => HomTrainer (Exponential prob) | |
| Num prob => Group (Exponential prob) | |
| Fractional prob => Variance (Exponential prob) | |
| Fractional prob => Mean (Exponential prob) | |
| Floating prob => PDF (Exponential prob) | |
| Num prob => Probabilistic (Exponential prob) | |
| (Floating prob, Enum prob, Show prob, Ord prob) => PlottableDistribution (Exponential prob) |