Trait rv::traits::Variance

pub trait Variance<X> {
    fn variance(&self) -> Option<X>;
}

Defines the distribution variance

Required methods

fn variance(&self) -> Option<X>

Returns None if the variance is undefined

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Implementors

impl Variance<f32> for ChiSquared

fn variance(&self) -> Option<f32>

impl Variance<f32> for Exponential

fn variance(&self) -> Option<f32>

impl Variance<f32> for InvChiSquared

fn variance(&self) -> Option<f32>

impl Variance<f32> for Laplace

fn variance(&self) -> Option<f32>

impl Variance<f32> for ScaledInvChiSquared

fn variance(&self) -> Option<f32>

impl Variance<f32> for StudentsT

fn variance(&self) -> Option<f32>

impl Variance<f32> for Uniform

fn variance(&self) -> Option<f32>

impl Variance<f32> for VonMises

fn variance(&self) -> Option<f32>

impl Variance<f64> for Bernoulli

fn variance(&self) -> Option<f64>

impl Variance<f64> for Beta

fn variance(&self) -> Option<f64>

impl Variance<f64> for BetaBinomial

fn variance(&self) -> Option<f64>

impl Variance<f64> for Binomial

fn variance(&self) -> Option<f64>

impl Variance<f64> for ChiSquared

fn variance(&self) -> Option<f64>

impl Variance<f64> for Empirical

fn variance(&self) -> Option<f64>

impl Variance<f64> for Exponential

fn variance(&self) -> Option<f64>

impl Variance<f64> for Gamma

fn variance(&self) -> Option<f64>

impl Variance<f64> for Gaussian

fn variance(&self) -> Option<f64>

impl Variance<f64> for Geometric

fn variance(&self) -> Option<f64>

impl Variance<f64> for Gev

fn variance(&self) -> Option<f64>

impl Variance<f64> for InvChiSquared

fn variance(&self) -> Option<f64>

impl Variance<f64> for InvGamma

fn variance(&self) -> Option<f64>

impl Variance<f64> for InvGaussian

fn variance(&self) -> Option<f64>

impl Variance<f64> for Laplace

fn variance(&self) -> Option<f64>

impl Variance<f64> for LogNormal

fn variance(&self) -> Option<f64>

impl Variance<f64> for NegBinomial

fn variance(&self) -> Option<f64>

impl Variance<f64> for Pareto

fn variance(&self) -> Option<f64>

impl Variance<f64> for Poisson

fn variance(&self) -> Option<f64>

impl Variance<f64> for ScaledInvChiSquared

fn variance(&self) -> Option<f64>

impl Variance<f64> for Skellam

fn variance(&self) -> Option<f64>

impl Variance<f64> for StudentsT

fn variance(&self) -> Option<f64>

impl Variance<f64> for Uniform

fn variance(&self) -> Option<f64>

impl Variance<f64> for VonMises

fn variance(&self) -> Option<f64>

impl Variance<Matrix<f64, Dynamic, Dynamic, <DefaultAllocator as Allocator<f64, Dynamic, Dynamic>>::Buffer>> for MvGaussian

fn variance(&self) -> Option<DMatrix<f64>>

impl<Fx> Variance<f32> for Mixture<Fx> where
    Fx: ContinuousDistr<f32> + Mean<f32> + Variance<f32>, 

fn variance(&self) -> Option<f32>

impl<Fx> Variance<f64> for Mixture<Fx> where
    Fx: ContinuousDistr<f64> + Mean<f64> + Variance<f64>, 

fn variance(&self) -> Option<f64>

impl<Fx, X> Variance<X> for Fx where
    Fx: Deref,
    Fx::Target: Variance<X>, 

fn variance(&self) -> Option<X>

impl<T> Variance<f64> for DiscreteUniform<T> where
    T: DuParam + SampleUniform + Into<f64>, 

fn variance(&self) -> Option<f64>

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