the same as gaussobs but with a different initializer, such that the uncertainty sigma is absolute More...

#include <model.h>

Inheritance diagram for gauss2obs:

Collaboration diagram for gauss2obs:

Public Member Functions
	gauss2obs (measure v)

	gauss2obs (double mean, double sigma)

	~gauss2obs ()

double	loglikelihood (double hipothesis) const

double	error (double hipothesis) const

double	expected () const

Public Member Functions inherited from observable
	observable ()

virtual	~observable ()

Public Attributes
const double	m

const double	s

Public Attributes inherited from observable
uint	copies

Detailed Description

the same as gaussobs but with a different initializer, such that the uncertainty sigma is absolute

Definition at line 100 of file model.h.

Constructor & Destructor Documentation

gauss2obs::gauss2obs ( measure v )

inline

Parameters

mean	mean value of the measure
sigma	standard deviation of the measure

Definition at line 106 of file model.h.

inline

Definition at line 107 of file model.h.

gauss2obs::~gauss2obs ( )

inline

Definition at line 108 of file model.h.

double gauss2obs::error ( double hipothesis ) const

inlinevirtual

Implements observable.

Definition at line 113 of file model.h.

double gauss2obs::expected ( ) const

inline

Definition at line 118 of file model.h.

double gauss2obs::loglikelihood ( double hipothesis ) const

inlinevirtual

Parameters

hipothesis the theoretical hypothesis

Returns: the logarithm of the probability of measuring what was measured, assuming that the hypothesis is true

Implements observable.

Definition at line 109 of file model.h.

const double gauss2obs::m

Definition at line 120 of file model.h.

const double gauss2obs::s

Definition at line 120 of file model.h.

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