Struct PoissonDistribution 

pub struct PoissonDistribution {
    pub rate_parameter: f64,
    pub distribution_name: String,
    pub description: String,
}

Parameters of a Poisson distribution.

Models the count of events occurring in a fixed interval at a constant average rate; supported on the non-negative integers.

Fields

rate_parameter: f64

Rate parameter λ; must be > 0. Both the mean and the variance.

distribution_name: String

Optional human-readable name; unused by the numerics, defaults to empty.

description: String

Optional human-readable description; unused by the numerics, defaults to empty.

Trait Implementations

impl Cdf for PoissonDistribution

fn cdf(&self, x: f64) -> f64

Evaluates the cumulative distribution function at x.

impl Clone for PoissonDistribution

fn clone(&self) -> PoissonDistribution

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PoissonDistribution

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

Formats the value using the given formatter.

impl Default for PoissonDistribution

fn default() -> PoissonDistribution

Returns the “default value” for a type.

impl Moments for PoissonDistribution

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

Returns the theoretical mean, or None if it is undefined.

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

Returns the theoretical variance, or None if it is undefined.

impl Pmf for PoissonDistribution

fn pmf(&self, k: i64) -> f64

Evaluates the probability mass function at integer k.

impl Quantile for PoissonDistribution

fn quantile(&self, p: f64) -> f64

Evaluates the quantile (inverse CDF) at probability p.

impl Sample for PoissonDistribution

fn sample(&self, rng: &mut SplitMix64) -> f64

Draws one variate, advancing rng.