Struct statrs::distribution::Binomial
source · [−]pub struct Binomial { /* private fields */ }Expand description
Implementations
Constructs a new binomial distribution
with a given p probability of success of n
trials.
Errors
Returns an error if p is NaN, less than 0.0,
greater than 1.0, or if n is less than 0
Examples
use statrs::distribution::Binomial;
let mut result = Binomial::new(0.5, 5);
assert!(result.is_ok());
result = Binomial::new(-0.5, 5);
assert!(result.is_err());Returns the probability of success p of
the binomial distribution.
Examples
use statrs::distribution::Binomial;
let n = Binomial::new(0.5, 5).unwrap();
assert_eq!(n.p(), 0.5);Trait Implementations
Calculates the probability mass function for the binomial
distribution at x
Formula
(n choose k) * p^k * (1 - p)^(n - k)Calculates the cumulative distribution function for the
binomial distribution at x
Formula
I_(1 - p)(n - x, 1 + x)where I_(x)(a, b) is the regularized incomplete beta function
Due to issues with rounding and floating-point accuracy the default implementation may be ill-behaved Specialized inverse cdfs should be used whenever possible. Read more
Generate a random value of T, using rng as the source of randomness.
Create an iterator that generates random values of T, using rng as
the source of randomness. Read more
Returns the entropy of the binomial distribution
Formula
(1 / 2) * ln (2 * π * e * n * p * (1 - p))Auto Trait Implementations
impl RefUnwindSafe for Binomial
impl UnwindSafe for Binomial
Blanket Implementations
Mutably borrows from an owned value. Read more
The inverse inclusion map: attempts to construct self from the equivalent element of its
superset. Read more
Checks if self is actually part of its subset T (and can be converted to it).
Use with care! Same as self.to_subset but without any property checks. Always succeeds.
The inclusion map: converts self to the equivalent element of its superset.