Struct Pow3Fit 

pub struct Pow3Fit {
    pub a: f64,
    pub alpha: f64,
    pub c: f64,
    pub sigma: f64,
}

A fitted Domhan pow-3 power law y(t) = c − a·t^(−α).

Produced by fit_pow3 in the rising frame (see the FreezeThaw module documentation): c is the extrapolated asymptote and sigma is the fit’s residual standard deviation — the uncertainty the resume acquisition adds κ·σ̂ of.

Fields

a: f64

The scale parameter a (> 0): how far below the asymptote the curve starts.

alpha: f64

The decay exponent α (> 0): how quickly the gap to the asymptote closes.

c: f64

The asymptote c: the value the curve is extrapolated to reach.

sigma: f64

The residual standard deviation σ̂ — sqrt(SSE / max(1, n − 3)), the least-squares estimate of the noise the acquisition treats as the fit’s uncertainty.

Implementations

impl Pow3Fit

pub fn value_at(&self, t: f64) -> f64

The model’s predicted value at resource t (t ≥ 1).

Trait Implementations

impl Clone for Pow3Fit

fn clone(&self) -> Pow3Fit

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Copy for Pow3Fit

impl Debug for Pow3Fit

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for Pow3Fit

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for Pow3Fit

fn eq(&self, other: &Pow3Fit) -> bool

Equality operator ==.

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

Inequality operator !=.

impl Serialize for Pow3Fit

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Pow3Fit