Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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GaussianSummary Struct Reference

Summary statistics for one binned observable distribution. More...

#include <GaussianApprox.h>

Collaboration diagram for GaussianSummary:

Public Attributes

BinnedObservableId id
 Binned observable identifier.
 
double mu {}
 
double sigma {}
 Symmetric population standard deviation.
 
double sigma_p {}
 Right-side standard deviation for an asymmetric approximation.
 
double sigma_m {}
 Left-side standard deviation for an asymmetric approximation.
 
double mode {}
 Estimated population mode.
 
double skew {}
 Sample skewness estimator.
 
bool symmetric {}
 True when the distribution is treated as sufficiently symmetric.
 

Detailed Description

Summary statistics for one binned observable distribution.

The fields store both symmetric and asymmetric uncertainty information. The symmetric flag indicates which representation should be preferred when reporting the approximation.

Definition at line 28 of file GaussianApprox.h.

Member Data Documentation

◆ id

BinnedObservableId GaussianSummary::id

Binned observable identifier.

Definition at line 29 of file GaussianApprox.h.

◆ mode

double GaussianSummary::mode {}

Estimated population mode.

Definition at line 34 of file GaussianApprox.h.

◆ mu

double GaussianSummary::mu {}

Definition at line 30 of file GaussianApprox.h.

◆ sigma

double GaussianSummary::sigma {}

Symmetric population standard deviation.

Definition at line 31 of file GaussianApprox.h.

◆ sigma_m

double GaussianSummary::sigma_m {}

Left-side standard deviation for an asymmetric approximation.

Definition at line 33 of file GaussianApprox.h.

◆ sigma_p

double GaussianSummary::sigma_p {}

Right-side standard deviation for an asymmetric approximation.

Definition at line 32 of file GaussianApprox.h.

◆ skew

double GaussianSummary::skew {}

Sample skewness estimator.

Definition at line 35 of file GaussianApprox.h.

◆ symmetric

bool GaussianSummary::symmetric {}

True when the distribution is treated as sufficiently symmetric.

Definition at line 36 of file GaussianApprox.h.


The documentation for this struct was generated from the following file: