Struct average::Kurtosis

pub struct Kurtosis { /* fields omitted */ }

Estimate the arithmetic mean, the variance, the skewness and the kurtosis of a sequence of numbers ("population").

This can be used to estimate the standard error of the mean.

Methods

impl Kurtosis

pub fn new() -> Kurtosis

Create a new kurtosis estimator.

pub fn is_empty(&self) -> bool

Determine whether the sample is empty.

pub fn mean(&self) -> f64

Estimate the mean of the population.

Returns 0 for an empty sample.

pub fn len(&self) -> u64

Return the sample size.

pub fn sample_variance(&self) -> f64

Calculate the sample variance.

This is an unbiased estimator of the variance of the population.

pub fn population_variance(&self) -> f64

Calculate the population variance of the sample.

This is a biased estimator of the variance of the population.

pub fn error_mean(&self) -> f64

Estimate the standard error of the mean of the population.

pub fn skewness(&self) -> f64

Estimate the skewness of the population.

pub fn kurtosis(&self) -> f64

Estimate the excess kurtosis of the population.

Trait Implementations

impl Debug for Kurtosis

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

Formats the value using the given formatter.

impl Clone for Kurtosis

fn clone(&self) -> Kurtosis

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Default for Kurtosis

fn default() -> Kurtosis

Returns the "default value" for a type.

impl Estimate for Kurtosis

fn add(&mut self, x: f64)

Add an observation sampled from the population.

fn estimate(&self) -> f64

Estimate the statistic of the population.

impl Merge for Kurtosis

fn merge(&mut self, other: &Kurtosis)

impl FromIterator<f64> for Kurtosis

fn from_iter<T>(iter: T) -> Kurtosis where     T: IntoIterator<Item = f64>,

Creates a value from an iterator.

impl<'a> FromIterator<&'a f64> for Kurtosis

fn from_iter<T>(iter: T) -> Kurtosis where     T: IntoIterator<Item = &'a f64>,

Creates a value from an iterator.