#include "vnl_chi_squared.h"
#include <vnl/algo/vnl_netlib.h>

Macros
#define	VNL_CHI_SQUARED_INSTANTIATE(T)

Functions
template<class T >
double	vnl_chi_squared_cumulative (T chisq, long dof)
	Compute cumulative distribution function value for chi-squared distribution. More...

template<class T >
double	vnl_chi_squared_statistic_1 (T const A, T const B, int n, bool normalize)
	Name space for various chi-squared distribution functions. More...

template<class T >
double	vnl_chi_squared_statistic_2 (T const A, T const B, int n, bool normalize)
	$\displaystyle \sum_i \frac{ (a[i] - b[i])^2 }{ b[i] }$ More...

template<class T >
double	vnl_chi_squared_statistic_12 (T const A, T const B, int n, bool normalize)
	$\displaystyle \sum_i \frac{ (a[i] - b[i])^2 }{ a[i] + b[i] }$ More...

Macro Definition Documentation

◆ VNL_CHI_SQUARED_INSTANTIATE

#define VNL_CHI_SQUARED_INSTANTIATE ( T )

Value:

template VNL_ALGO_EXPORT double vnl_chi_squared_cumulative  (T chisq, long dof); \
template VNL_ALGO_EXPORT double vnl_chi_squared_statistic_1 (T const *, T const *, int, bool); \
template VNL_ALGO_EXPORT double vnl_chi_squared_statistic_2 (T const *, T const *, int, bool); \
template VNL_ALGO_EXPORT double vnl_chi_squared_statistic_12(T const *, T const *, int, bool)

Definition at line 98 of file vnl_chi_squared.hxx.

Function Documentation

◆ vnl_chi_squared_cumulative()

template<class T >

double vnl_chi_squared_cumulative	(	T	chisq,
		long	dof
	)

Compute cumulative distribution function value for chi-squared distribution.

This subroutine computes the cumulative distribution function value for the chi-squared distribution with integer degrees of freedom parameter = dof. This distribution is defined for all non-negative chisq. Thus if a random variable x is drawn from a chi-squared distribution with d degrees of freedom, then $P(x < X) =$ vnl_chi_squared_cumulative(X,d). Internally, T=double is used.

Definition at line 14 of file vnl_chi_squared.hxx.

◆ vnl_chi_squared_statistic_1()

template<class T >

double vnl_chi_squared_statistic_1	(	T const *	A,
		T const *	B,
		int	n,
		bool	normalize
	)

Name space for various chi-squared distribution functions.

A[] and B[] are (pointers to) arrays containing histograms. If the 'normalize' parameter is true, each histogram will be implicitly normalized (so as to sum to 1) before the statistic is calculated :

$a[i] = A[i] / \sum_j A[j]$

$b[i] = B[i] / \sum_j B[j]$

DO NOT add scale factors to these functions or you will break the code written by those who read the documentation. fsm.

$\displaystyle \sum_i \frac{ (a[i] - b[i])^2 }{ a[i] }$

Definition at line 24 of file vnl_chi_squared.hxx.

◆ vnl_chi_squared_statistic_12()

template<class T >

double vnl_chi_squared_statistic_12	(	T const *	A,
		T const *	B,
		int	n,
		bool	normalize
	)

$\displaystyle \sum_i \frac{ (a[i] - b[i])^2 }{ a[i] + b[i] }$

Definition at line 64 of file vnl_chi_squared.hxx.

◆ vnl_chi_squared_statistic_2()

template<class T >

double vnl_chi_squared_statistic_2	(	T const *	A,
		T const *	B,
		int	n,
		bool	normalize
	)

$\displaystyle \sum_i \frac{ (a[i] - b[i])^2 }{ b[i] }$

Definition at line 58 of file vnl_chi_squared.hxx.

Macros

Functions

Macro Definition Documentation

◆ VNL_CHI_SQUARED_INSTANTIATE

Function Documentation

◆ vnl_chi_squared_cumulative()

◆ vnl_chi_squared_statistic_1()

◆ vnl_chi_squared_statistic_12()

◆ vnl_chi_squared_statistic_2()