[−][src]Trait rand::distributions::IndependentSample
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>(&self, &mut R) -> Support where
R: Rng,
R: Rng,
Generate a random value.
Implementors
impl IndependentSample<f64> for Gamma
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impl IndependentSample<f64> for Gamma
fn ind_sample<R>(&self, rng: &mut R) -> f64 where | [src] |
impl IndependentSample<f64> for StudentT
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impl IndependentSample<f64> for StudentT
fn ind_sample<R>(&self, rng: &mut R) -> f64 where | [src] |
impl IndependentSample<f64> for LogNormal
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impl IndependentSample<f64> for LogNormal
fn ind_sample<R>(&self, rng: &mut R) -> f64 where | [src] |
impl IndependentSample<f64> for Normal
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impl IndependentSample<f64> for Normal
fn ind_sample<R>(&self, rng: &mut R) -> f64 where | [src] |
impl IndependentSample<f64> for FisherF
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impl IndependentSample<f64> for FisherF
fn ind_sample<R>(&self, rng: &mut R) -> f64 where | [src] |
impl IndependentSample<f64> for Exp
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impl IndependentSample<f64> for Exp
fn ind_sample<R>(&self, rng: &mut R) -> f64 where | [src] |
impl IndependentSample<f64> for ChiSquared
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impl IndependentSample<f64> for ChiSquared
fn ind_sample<R>(&self, rng: &mut R) -> f64 where | [src] |
impl<'a, T> IndependentSample<T> for WeightedChoice<'a, T> where
T: Clone,
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impl<'a, T> IndependentSample<T> for WeightedChoice<'a, T> where
T: Clone,
fn ind_sample<R>(&self, rng: &mut R) -> T where | [src] |
impl<Sup> IndependentSample<Sup> for Range<Sup> where
Sup: SampleRange,
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impl<Sup> IndependentSample<Sup> for Range<Sup> where
Sup: SampleRange,
fn ind_sample<R>(&self, rng: &mut R) -> Sup where | [src] |
impl<Sup> IndependentSample<Sup> for RandSample<Sup> where
Sup: Rand,
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impl<Sup> IndependentSample<Sup> for RandSample<Sup> where
Sup: Rand,
fn ind_sample<R>(&self, rng: &mut R) -> Sup where | [src] |