pub struct StatisticalNoiseModel {
pub distributions: HashMap<String, NoiseDistribution>,
pub moments: HashMap<String, MomentAnalysis>,
pub correlation_structure: CorrelationStructure,
pub outlier_analysis: OutlierAnalysis,
pub density_estimates: HashMap<String, DensityEstimate>,
}Expand description
Statistical noise characterization
Fields§
§distributions: HashMap<String, NoiseDistribution>Distributional analysis for each noise source
moments: HashMap<String, MomentAnalysis>Higher-order moment analysis
correlation_structure: CorrelationStructureCorrelation structure between noise sources
outlier_analysis: OutlierAnalysisOutlier detection and analysis
density_estimates: HashMap<String, DensityEstimate>Non-parametric density estimates
Trait Implementations§
Source§impl Clone for StatisticalNoiseModel
impl Clone for StatisticalNoiseModel
Source§fn clone(&self) -> StatisticalNoiseModel
fn clone(&self) -> StatisticalNoiseModel
Returns a duplicate of the value. Read more
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreAuto Trait Implementations§
impl Freeze for StatisticalNoiseModel
impl RefUnwindSafe for StatisticalNoiseModel
impl Send for StatisticalNoiseModel
impl Sync for StatisticalNoiseModel
impl Unpin for StatisticalNoiseModel
impl UnwindSafe for StatisticalNoiseModel
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Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
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fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> CloneToUninit for Twhere
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impl<T> CloneToUninit for Twhere
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fn instrument(self, span: Span) -> Instrumented<Self>
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Converts
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
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impl<T> Pointable for T
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impl<T> PolicyExt for Twhere
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The inverse inclusion map: attempts to construct
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Checks if
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Use with care! Same as
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fn from_subset(element: &SS) -> SP
The inclusion map: converts
self to the equivalent element of its superset.