Struct rv::dist::StudentsT [−][src]
pub struct StudentsT { pub v: f64, }
Student's T distribution
Fields
v: f64
Degrees of freedom, ν, in (0, ∞)
Methods
impl StudentsT
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impl StudentsT
Trait Implementations
impl Debug for StudentsT
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impl Debug for StudentsT
fn fmt(&self, f: &mut Formatter) -> Result
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fn fmt(&self, f: &mut Formatter) -> Result
Formats the value using the given formatter. Read more
impl Clone for StudentsT
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impl Clone for StudentsT
fn clone(&self) -> StudentsT
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fn clone(&self) -> StudentsT
Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
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fn clone_from(&mut self, source: &Self)
Performs copy-assignment from source
. Read more
impl Skewness for StudentsT
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impl Skewness for StudentsT
impl Kurtosis for StudentsT
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impl Kurtosis for StudentsT
impl Rv<f64> for StudentsT
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impl Rv<f64> for StudentsT
fn ln_f(&self, x: &f64) -> f64
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fn ln_f(&self, x: &f64) -> f64
Un-normalized probability function Read more
fn ln_normalizer(&self) -> f64
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fn ln_normalizer(&self) -> f64
The log of the constant term in the PDF/PMF. Should not be a function of any of the parameters. Read more
fn draw<R: Rng>(&self, rng: &mut R) -> f64
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fn draw<R: Rng>(&self, rng: &mut R) -> f64
Single draw from the Rv
Read more
fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<f64>
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fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<f64>
Multiple draws of the Rv
Read more
fn f(&self, x: &X) -> f64
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fn f(&self, x: &X) -> f64
Un-normalized probability function Read more
fn normalizer(&self) -> f64
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fn normalizer(&self) -> f64
The constant term in the PDF/PMF. Should not be a function of any of the parameters. Read more
impl Support<f64> for StudentsT
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impl Support<f64> for StudentsT
impl ContinuousDistr<f64> for StudentsT
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impl ContinuousDistr<f64> for StudentsT
fn pdf(&self, x: &X) -> f64
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fn pdf(&self, x: &X) -> f64
The value of the Probability Density Function (PDF) at x
Read more
fn ln_pdf(&self, x: &X) -> f64
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fn ln_pdf(&self, x: &X) -> f64
The value of the log Probability Density Function (PDF) at x
Read more
impl Mean<f64> for StudentsT
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impl Mean<f64> for StudentsT
impl Median<f64> for StudentsT
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impl Median<f64> for StudentsT
impl Mode<f64> for StudentsT
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impl Mode<f64> for StudentsT
impl Variance<f64> for StudentsT
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impl Variance<f64> for StudentsT
impl Rv<f32> for StudentsT
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impl Rv<f32> for StudentsT
fn ln_f(&self, x: &f32) -> f64
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fn ln_f(&self, x: &f32) -> f64
Un-normalized probability function Read more
fn ln_normalizer(&self) -> f64
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fn ln_normalizer(&self) -> f64
The log of the constant term in the PDF/PMF. Should not be a function of any of the parameters. Read more
fn draw<R: Rng>(&self, rng: &mut R) -> f32
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fn draw<R: Rng>(&self, rng: &mut R) -> f32
Single draw from the Rv
Read more
fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<f32>
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fn sample<R: Rng>(&self, n: usize, rng: &mut R) -> Vec<f32>
Multiple draws of the Rv
Read more
fn f(&self, x: &X) -> f64
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fn f(&self, x: &X) -> f64
Un-normalized probability function Read more
fn normalizer(&self) -> f64
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fn normalizer(&self) -> f64
The constant term in the PDF/PMF. Should not be a function of any of the parameters. Read more
impl Support<f32> for StudentsT
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impl Support<f32> for StudentsT
impl ContinuousDistr<f32> for StudentsT
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impl ContinuousDistr<f32> for StudentsT
fn pdf(&self, x: &X) -> f64
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fn pdf(&self, x: &X) -> f64
The value of the Probability Density Function (PDF) at x
Read more
fn ln_pdf(&self, x: &X) -> f64
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fn ln_pdf(&self, x: &X) -> f64
The value of the log Probability Density Function (PDF) at x
Read more
impl Mean<f32> for StudentsT
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impl Mean<f32> for StudentsT
impl Median<f32> for StudentsT
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impl Median<f32> for StudentsT
impl Mode<f32> for StudentsT
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impl Mode<f32> for StudentsT
impl Variance<f32> for StudentsT
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impl Variance<f32> for StudentsT