Struct probability::distribution::Pert

pub struct Pert { /* fields omitted */ }

A PERT distribution.

Implementations

impl Pert

pub fn new(a: f64, b: f64, c: f64) -> Self

Create a PERT distribution with parameters a, b, and c.

It should hold that a < b < c.

pub fn a(&self) -> f64

Return the first parameter.

pub fn b(&self) -> f64

Return the second parameter.

pub fn c(&self) -> f64

Return the third parameter.

pub fn alpha(&self) -> f64

Return the first shape parameter of the corresponding Beta distribution.

pub fn beta(&self) -> f64

Return the second shape parameter of the corresponding Beta distribution.

Trait Implementations

impl Clone for Pert

fn clone(&self) -> Pert

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Continuous for Pert

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

Compute the probability density function.

impl Copy for Pert

impl Debug for Pert

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

Formats the value using the given formatter.

impl Distribution for Pert

type Value = f64

The type of outcomes.

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

Compute the cumulative distribution function.

impl Entropy for Pert

fn entropy(&self) -> f64

Compute the differential entropy.

impl Inverse for Pert

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

Compute the inverse of the cumulative distribution function.

impl Kurtosis for Pert

fn kurtosis(&self) -> f64

Compute the excess kurtosis.

impl Mean for Pert

fn mean(&self) -> f64

Compute the expected value.

impl Median for Pert

fn median(&self) -> f64

Compute the median.

impl Modes for Pert

fn modes(&self) -> Vec<f64>

Compute the modes.

impl Sample for Pert

fn sample<S>(&self, source: &mut S) -> f64 where
    S: Source, 

Draw a sample.

impl Skewness for Pert

fn skewness(&self) -> f64

Compute the skewness.

impl Variance for Pert

fn variance(&self) -> f64

Compute the variance.

fn deviation(&self) -> f64

Compute the standard deviation.