# Trait rand::distributions::IndependentSample [−] [src]

    pub trait IndependentSample<Support>: Sample<Support> {
        fn ind_sample<R: Rng>(&self, _: &mut R) -> Support;
    }

`Sample`s that do not require keeping track of state.

Since no state is recorded, each sample is (statistically) independent of all others, assuming the `Rng` used has this property.

## Required Methods

### `fn ind_sample<R: Rng>(&self, _: &mut R) -> Support`

Generate a random value.

## Implementors

- [src]
  `impl<Sup: SampleRange> IndependentSample<Sup> for Range<Sup>`
- [src]
  `impl IndependentSample<f64> for Gamma`
- [src]
  `impl IndependentSample<f64> for ChiSquared`
- [src]
  `impl IndependentSample<f64> for FisherF`
- [src]
  `impl IndependentSample<f64> for StudentT`
- [src]
  `impl IndependentSample<f64> for Normal`
- [src]
  `impl IndependentSample<f64> for LogNormal`
- [src]
  `impl IndependentSample<f64> for Exp`
- [src]
  `impl<Sup: Rand> IndependentSample<Sup> for RandSample<Sup>`
- [src]
  `impl<'a, T: Clone> IndependentSample<T> for WeightedChoice<'a, T>`

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