Trait statrs::statistics::DiscreteDistribution[−][src]

pub trait DiscreteDistribution<T: Float>: Distribution<u64> {
    fn mean(&self) -> Option<T> { ... }
    fn variance(&self) -> Option<T> { ... }
    fn std_dev(&self) -> Option<T> { ... }
    fn entropy(&self) -> Option<T> { ... }
    fn skewness(&self) -> Option<T> { ... }
}

Provided methods

`fn mean(&self) -> Option<T>`[src]

Expand description

Returns the mean, if it exists.

`fn variance(&self) -> Option<T>`[src]

Expand description

Returns the variance, if it exists.

`fn std_dev(&self) -> Option<T>`[src]

Expand description

Returns the standard deviation, if it exists.

`fn entropy(&self) -> Option<T>`[src]

Expand description

Returns the entropy, if it exists.

`fn skewness(&self) -> Option<T>`[src]

Expand description

Returns the skewness, if it exists.

Implementors

`impl DiscreteDistribution<f64> for NegativeBinomial`[src]

`fn mean(&self) -> Option<f64>`[src]

Returns the mean of the negative binomial distribution

Formula

r * (1-p) / p

`fn variance(&self) -> Option<f64>`[src]

Returns the variance of the negative binomial distribution

Formula

r * (1-p) / p^2

`fn skewness(&self) -> Option<f64>`[src]

Returns the skewness of the negative binomial distribution

Formula

(2-p) / sqrt(r * (1-p))