Struct rand::distributions::ChiSquared [−][src]
pub struct ChiSquared { /* fields omitted */ }The chi-squared distribution χ²(k), where k is the degrees of
freedom.
For k > 0 integral, this distribution is the sum of the squares
of k independent standard normal random variables. For other
k, this uses the equivalent characterisation
χ²(k) = Gamma(k/2, 2).
Example
use rand::distributions::{ChiSquared, IndependentSample}; let chi = ChiSquared::new(11.0); let v = chi.ind_sample(&mut rand::thread_rng()); println!("{} is from a χ²(11) distribution", v)
Methods
impl ChiSquared[src]
impl ChiSquaredpub fn new(k: f64) -> ChiSquared[src]
pub fn new(k: f64) -> ChiSquaredCreate a new chi-squared distribution with degrees-of-freedom
k. Panics if k < 0.
Trait Implementations
impl IndependentSample<f64> for ChiSquared[src]
impl IndependentSample<f64> for ChiSquaredfn ind_sample<R>(&self, rng: &mut R) -> f64 where
R: Rng, [src]
fn ind_sample<R>(&self, rng: &mut R) -> f64 where
R: Rng, Generate a random value.
impl Copy for ChiSquared[src]
impl Copy for ChiSquaredimpl Clone for ChiSquared[src]
impl Clone for ChiSquaredfn clone(&self) -> ChiSquared[src]
fn clone(&self) -> ChiSquaredReturns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)1.0.0[src]
fn clone_from(&mut self, source: &Self)1.0.0
[src]Performs copy-assignment from source. Read more
impl Sample<f64> for ChiSquared[src]
impl Sample<f64> for ChiSquaredfn sample<R>(&mut self, rng: &mut R) -> f64 where
R: Rng, [src]
fn sample<R>(&mut self, rng: &mut R) -> f64 where
R: Rng, Generate a random value of Support, using rng as the source of randomness. Read more
impl Debug for ChiSquared[src]
impl Debug for ChiSquaredAuto Trait Implementations
impl Send for ChiSquared
impl Send for ChiSquaredimpl Sync for ChiSquared
impl Sync for ChiSquared