Trait rv::traits::Median

pub trait Median<X> {
    fn median(&self) -> Option<X>;
}

Defines the distribution median

Required methods

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

Returns None if the median is undefined

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Implementors

impl Median<f32> for Cauchy

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

impl Median<f32> for Exponential

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

impl Median<f32> for Gaussian

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

impl Median<f32> for Gev

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

impl Median<f32> for Kumaraswamy

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

impl Median<f32> for Laplace

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

impl Median<f32> for LogNormal

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

impl Median<f32> for StudentsT

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

impl Median<f32> for Uniform

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

impl Median<f32> for VonMises

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

impl Median<f64> for Bernoulli

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

impl Median<f64> for Cauchy

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

impl Median<f64> for Exponential

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

impl Median<f64> for Gaussian

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

impl Median<f64> for Gev

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

impl Median<f64> for Kumaraswamy

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

impl Median<f64> for Laplace

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

impl Median<f64> for LogNormal

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

impl Median<f64> for StudentsT

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

impl Median<f64> for Uniform

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

impl Median<f64> for VonMises

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

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

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

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

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

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