Struct rand_distr::Weibull
source · pub struct Weibull<F>{ /* private fields */ }
Expand description
The Weibull distribution Weibull(λ, k)
.
This is a family of continuous probability distributions with
scale parameter λ
(lambda
) and shape parameter k
. It is used
to model reliability data, life data, and accelerated life testing data.
§Plot
The following plot shows the Weibull distribution with various values of λ
and k
.
§Example
use rand::prelude::*;
use rand_distr::Weibull;
let val: f64 = thread_rng().sample(Weibull::new(1., 10.).unwrap());
println!("{}", val);
Implementations§
Trait Implementations§
source§impl<'de, F> Deserialize<'de> for Weibull<F>
impl<'de, F> Deserialize<'de> for Weibull<F>
source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
source§impl<F> Distribution<F> for Weibull<F>
impl<F> Distribution<F> for Weibull<F>
impl<F> Copy for Weibull<F>
impl<F> StructuralPartialEq for Weibull<F>
Auto Trait Implementations§
impl<F> Freeze for Weibull<F>where
F: Freeze,
impl<F> RefUnwindSafe for Weibull<F>where
F: RefUnwindSafe,
impl<F> Send for Weibull<F>where
F: Send,
impl<F> Sync for Weibull<F>where
F: Sync,
impl<F> Unpin for Weibull<F>where
F: Unpin,
impl<F> UnwindSafe for Weibull<F>where
F: UnwindSafe,
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
source§unsafe fn clone_to_uninit(&self, dst: *mut T)
unsafe fn clone_to_uninit(&self, dst: *mut T)
🔬This is a nightly-only experimental API. (
clone_to_uninit
)