Struct Estimate 

pub struct Estimate {
    pub mean: f64,
    pub standard_error: f64,
    pub samples: u64,
}

What a Monte Carlo run came back with.

Fields

mean: f64

The sample mean.

standard_error: f64

s/√N: how far the mean is likely to be from the truth, not how spread the samples are.

samples: u64

How many samples went into it. Quoted because a mean without one is not a measurement.

Implementations

impl Estimate

pub fn standard_deviation(&self) -> f64

The sample standard deviation — the spread of the samples themselves.

Distinct from standard_error, and confusing the two is the most common way to state a Monte Carlo result wrongly: the spread does not shrink with more samples and the error on the mean does.

pub fn within(&self, k: f64, value: f64) -> bool

Whether a value sits within k standard errors of the mean.

Trait Implementations

impl Clone for Estimate

fn clone(&self) -> Estimate

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Estimate

impl Debug for Estimate

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

Formats the value using the given formatter.

impl PartialEq for Estimate

fn eq(&self, other: &Estimate) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for Estimate