An experimental measure of a parameter which is a mean value and a standard deviation. More...

#include <model.h>

Inheritance diagram for gaussobs:

Collaboration diagram for gaussobs:

Public Member Functions
	gaussobs (measure v)

	gaussobs (double mean, double sigma)

	~gaussobs ()

double	loglikelihood (double hipothesis) const

double	error (double hipothesis) 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

An experimental measure of a parameter which is a mean value and a standard deviation.

Definition at line 78 of file model.h.

Constructor & Destructor Documentation

gaussobs::gaussobs ( measure v )

inline

Parameters

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

Definition at line 84 of file model.h.

inline

Definition at line 85 of file model.h.

gaussobs::~gaussobs ( )

inline

Definition at line 86 of file model.h.

double gaussobs::error ( double hipothesis ) const

inlinevirtual

Implements observable.

Definition at line 91 of file model.h.

double gaussobs::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 87 of file model.h.

const double gaussobs::m

Definition at line 95 of file model.h.

const double gaussobs::s

Definition at line 95 of file model.h.

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