| Safe Haskell | None |
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HLearn.Models.Distributions.Univariate.Poisson
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
Instances
| Eq dp => Eq (Poisson prob dp) | |
| Ord dp => Ord (Poisson prob dp) | |
| Read dp => Read (Poisson prob dp) | |
| Show dp => Show (Poisson prob dp) | |
| Num dp => Monoid (Poisson prob dp) | |
| Num dp => HomTrainer (Poisson prob dp) | |
| Num dp => Group (Poisson prob dp) | |
| (Integral dp, Floating prob) => PDF (Poisson Double dp) | |
| Num dp => Probabilistic (Poisson prob dp) | |
| (PDF (Poisson prob dp), Show prob, Show dp, Ord dp, Ord prob, Fractional prob, Integral dp) => PlottableDistribution (Poisson prob dp) |