Summary of a global likelihood fit. More...

Collaboration diagram for FitResult:

Public Attributes
std::vector< double >	p_hat
	Maximum-likelihood estimates for parameters of interest.

std::vector< double >	eta_hat
	Nuisance estimates at the global maximum-likelihood point.

std::vector< double >	p_hat_std
	Standard deviations of the parameters of interest.

RealMatrix	p_hat_correlations
	Correlation matrix for the parameters of interest.

double	ell_hat {0.0}
	Minimum NLL value at the global best-fit point.

Detailed Description

Summary of a global likelihood fit.

The result stores the best-fit parameters of interest, profiled nuisances and uncertainty information used to seed subsequent profile scans.

Definition at line 30 of file IProfilingStrategy.h.

Member Data Documentation

double FitResult::ell_hat {0.0}

Minimum NLL value at the global best-fit point.

Definition at line 35 of file IProfilingStrategy.h.

std::vector<double> FitResult::eta_hat

Nuisance estimates at the global maximum-likelihood point.

Definition at line 32 of file IProfilingStrategy.h.

std::vector<double> FitResult::p_hat

Maximum-likelihood estimates for parameters of interest.

Definition at line 31 of file IProfilingStrategy.h.

RealMatrix FitResult::p_hat_correlations

Correlation matrix for the parameters of interest.

Definition at line 34 of file IProfilingStrategy.h.

std::vector<double> FitResult::p_hat_std

Standard deviations of the parameters of interest.

Definition at line 33 of file IProfilingStrategy.h.

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

/home/runner/work/Hyperiso/Hyperiso/Hyperiso/Hyperiso/core/src/Statistic/domain/Likelihood/IProfilingStrategy.h