Struct Binomial 

pub struct Binomial<T> { /* private fields */ }

Binomial distribution B(n, p).

P(X = k) = C(n,k) p^k (1−p)^{n−k} for k = 0, …, n.

Example

use numeris::stats::{Binomial, DiscreteDistribution};

let b = Binomial::new(10, 0.5_f64).unwrap();
assert!((b.mean() - 5.0).abs() < 1e-14);
assert!((b.variance() - 2.5).abs() < 1e-14);

Implementations

impl<T: FloatScalar> Binomial<T>

pub fn new(n: u64, p: T) -> Result<Self, StatsError>

Create a binomial distribution with n trials and success probability p. Requires 0 ≤ p ≤ 1.

Trait Implementations

impl<T: Clone> Clone for Binomial<T>

fn clone(&self) -> Binomial<T>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<T: Debug> Debug for Binomial<T>

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

Formats the value using the given formatter.

impl<T: FloatScalar> DiscreteDistribution<T> for Binomial<T>

fn pmf(&self, k: u64) -> T

Probability mass function P(X = k).

fn ln_pmf(&self, k: u64) -> T

Natural log of the probability mass function.

fn cdf(&self, k: u64) -> T

Cumulative distribution function P(X ≤ k).

fn mean(&self) -> T

Expected value E[X].

fn variance(&self) -> T

Variance Var(X).

impl<T: Copy> Copy for Binomial<T>