An experimental measure which is an upper limit on a parameter with a given Confidence Level. More...

#include <model.h>

Inheritance diagram for limitedobs:

Collaboration diagram for limitedobs:

Public Member Functions
	limitedobs (double limit, double cl=0.9, double m=0)

	~limitedobs ()

double	loglikelihood (double hipothesis) const

double	error (double hipothesis) const

Public Member Functions inherited from observable
	observable ()

virtual	~observable ()

Public Attributes
double	s

double	min

double	lim

Public Attributes inherited from observable
uint	copies

Detailed Description

An experimental measure which is an upper limit on a parameter with a given Confidence Level.

Definition at line 52 of file model.h.

Constructor & Destructor Documentation

inline

Parameters

limit	upper limit on the parameter
m	minimum possible value of the parameter
p	1-Confidence Level

Definition at line 60 of file model.h.

limitedobs::~limitedobs ( )

inline

Definition at line 63 of file model.h.

double limitedobs::error ( double hipothesis ) const

inlinevirtual

Implements observable.

Definition at line 69 of file model.h.

double limitedobs::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 64 of file model.h.

double limitedobs::lim

Definition at line 74 of file model.h.

double limitedobs::min

Definition at line 74 of file model.h.

double limitedobs::s

Definition at line 74 of file model.h.

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