Struct Sn 

pub struct Sn {
    pub consistency: f64,
    pub finite_sample_correction: bool,
}

Sn = c · dₙ · med_i { med_j |rᵢ − rⱼ| }: a low-median over points of the per-point high-median of the pairwise absolute differences. The constant c = 1.1926 gives consistency for σ at the Gaussian; dₙ is a finite-sample correction (Croux & Rousseeuw 1992).

Like Qn it needs no location reference and has a 50% breakdown point, with ≈ 58% Gaussian efficiency; it is often preferred for its simpler influence function. Evaluated in O(n²) time / O(n) space here (the O(n log n) algorithm is a possible follow-up).

Fields

consistency: f64

Asymptotic consistency constant (default 1.1926).

finite_sample_correction: bool

Apply the finite-sample correction dₙ (default true).

Trait Implementations

impl Clone for Sn

fn clone(&self) -> Sn

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Sn

impl Debug for Sn

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

Formats the value using the given formatter.

impl Default for Sn

fn default() -> Sn

Returns the “default value” for a type.

impl ScaleEstimator for Sn

fn scale(&self, residuals: &[f64]) -> Result<Scale, RobustError>

A robust scale of the given residuals.