Inheritance diagram for bsta_sigma_normalizer:

Public Member Functions
	bsta_sigma_normalizer (float under_estimation_probability, unsigned int N_PRECOMPUTED=40)
	create a sigma_normalizer object.
float	normalization_factor (float number_of_observations) const
	compute the normalization factor for a sample distribution computing with N observations.
float	normalization_factor_int (unsigned int number_of_observations) const
	compute the normalization factor for a sample distribution computed with N observations.
void	ref ()
void	unref ()
int	get_references () const
bool	is_referenced () const
Private Member Functions
	bsta_sigma_normalizer ()
Private Attributes
unsigned int	N_PRECOMPUTED_
vcl_vector< float >	unbias_const_

Detailed Description

Definition at line 20 of file bsta_sigma_normalizer.h.

Constructor & Destructor Documentation

bsta_sigma_normalizer::bsta_sigma_normalizer	(	float	under_estimation_probability,
		unsigned int	N_PRECOMPUTED = `40`
	)

create a sigma_normalizer object.

Definition at line 13 of file bsta_sigma_normalizer.cxx.

bsta_sigma_normalizer::bsta_sigma_normalizer ( ) [inline, private]

Definition at line 36 of file bsta_sigma_normalizer.h.

float bsta_sigma_normalizer::normalization_factor ( float number_of_observations ) const

compute the normalization factor for a sample distribution computing with N observations.

sigma_norm = sample_sigma * normalization_factor(N);

Definition at line 71 of file bsta_sigma_normalizer.cxx.

float bsta_sigma_normalizer::normalization_factor_int ( unsigned int number_of_observations ) const

compute the normalization factor for a sample distribution computed with N observations.

sigma_norm = sample_sigma * normalization_factor(N);

Definition at line 87 of file bsta_sigma_normalizer.cxx.

Definition at line 38 of file bsta_sigma_normalizer.h.

Definition at line 39 of file bsta_sigma_normalizer.h.

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