Struct ExponentialDistribution 

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

Parameters of an Exponential distribution.

Models the waiting time between events in a Poisson process; supported on [0, ∞) and parameterised by its rate.

Fields

rate_parameter: f64

Rate parameter λ; must be > 0. The mean is 1/λ.

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 ExponentialDistribution

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

Evaluates the cumulative distribution function at x.

impl Clone for ExponentialDistribution

fn clone(&self) -> ExponentialDistribution

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ExponentialDistribution

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

Formats the value using the given formatter.

impl Default for ExponentialDistribution

fn default() -> ExponentialDistribution

Returns the “default value” for a type.

impl Moments for ExponentialDistribution

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 Pdf for ExponentialDistribution

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

Evaluates the probability density function at x.

impl Quantile for ExponentialDistribution

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

Evaluates the quantile (inverse CDF) at probability p.

impl Sample for ExponentialDistribution

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

Draws one variate, advancing rng.