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Hyperiso 1.0.3
Modular flavour-physics calculations, Wilson coefficients and statistical inference
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Summary statistics for one binned observable distribution. More...
#include <GaussianApprox.h>

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. | |
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.
| BinnedObservableId GaussianSummary::id |
Binned observable identifier.
Definition at line 29 of file GaussianApprox.h.
| double GaussianSummary::mode {} |
Estimated population mode.
Definition at line 34 of file GaussianApprox.h.
| double GaussianSummary::mu {} |
Definition at line 30 of file GaussianApprox.h.
| double GaussianSummary::sigma {} |
Symmetric population standard deviation.
Definition at line 31 of file GaussianApprox.h.
| double GaussianSummary::sigma_m {} |
Left-side standard deviation for an asymmetric approximation.
Definition at line 33 of file GaussianApprox.h.
| double GaussianSummary::sigma_p {} |
Right-side standard deviation for an asymmetric approximation.
Definition at line 32 of file GaussianApprox.h.
| double GaussianSummary::skew {} |
Sample skewness estimator.
Definition at line 35 of file GaussianApprox.h.
| bool GaussianSummary::symmetric {} |
True when the distribution is treated as sufficiently symmetric.
Definition at line 36 of file GaussianApprox.h.