Struct flow_sdk::algorithms::secp256k1::rand::distributions::FisherF

pub struct FisherF { /* fields omitted */ }

The Fisher F distribution F(m, n).

This distribution is equivalent to the ratio of two normalised chi-squared distributions, that is, F(m,n) = (χ²(m)/m) / (χ²(n)/n).

Example

use rand::distributions::{FisherF, Distribution};

let f = FisherF::new(2.0, 32.0);
let v = f.sample(&mut rand::thread_rng());
println!("{} is from an F(2, 32) distribution", v)

Implementations

impl FisherF

pub fn new(m: f64, n: f64) -> FisherF

Create a new FisherF distribution, with the given parameter. Panics if either m or n are not positive.

Trait Implementations

impl Clone for FisherF

pub fn clone(&self) -> FisherF

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for FisherF

pub fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl Distribution<f64> for FisherF

pub fn sample<R>(&self, rng: &mut R) -> f64 where
    R: Rng + ?Sized, 

Generate a random value of T, using rng as the source of randomness.

fn sample_iter<R>(&'a self, rng: &'a mut R) -> DistIter<'a, Self, R, T> where
    R: Rng, 

Create an iterator that generates random values of T, using rng as the source of randomness.

impl Copy for FisherF