confidence.cpp File Reference

#include <algorithm>
#include <limits>
#include <cmath>
#include <vector>
#include <numeric>
#include "atomprobe/atomprobe.h"
#include "atomprobe/helper/aptAssert.h"
#include <gsl/gsl_cdf.h>
#include <gsl/gsl_randist.h>
#include <gsl/gsl_histogram.h>
#include <gsl/gsl_errno.h>
#include <gsl/gsl_math.h>
#include <gsl/gsl_roots.h>

Include dependency graph for confidence.cpp:

Go to the source code of this file.

Classes
struct	AtomProbe::ZECH_ROOT

Namespaces
	AtomProbe

Functions
template<class T , class T2 >
std::iterator_traits< T >::value_type	AtomProbe::kahansum (T begin, T end, T2 other)
bool	AtomProbe::numericalEstimatePoissRatioConf (float lambda1, float lambda2, float alpha, unsigned int nTrials, gsl_rng *r, float &lBound, float &uBound)
	Brute-force poisson ratio confidence estimator. Returns the confidence interval in the estimate of the mean, at the given rates. More...
bool	AtomProbe::numericalEstimateSkellamConf (float lambda1, float lambda2, float alpha, unsigned int nTrials, gsl_rng *r, float &lBound, float &uBound)
	Brute-force the confidence bounds of a skellam distribution. More...
bool	AtomProbe::numericalEstimateGaussRatioConf (float mu1, float mu2, float var1, float var2, float alpha, unsigned int nTrials, gsl_rng *r, float &lBound, float &uBound)
	Brute-force guassian ratio confidence estimator. More...
double	AtomProbe::zechRoot (double sigGuess, void *params)
bool	AtomProbe::zechConfidenceLimits (float lambdaBack, unsigned int observation, float alpha, float &estimate)
	Provides a best estimate for true signal when true signal, background. More...
template<class T >
void	AtomProbe::cumTrapezoid (const vector< T > &x, const vector< T > &vals, vector< T > &res)
double	AtomProbe::gauss_ratio_pdf (double x, double muX, double muY, double varX, double varY)
void	AtomProbe::poissonConfidenceObservation (float counts, float alpha, float &lBound, float &uBound)
	Obtain poisson confidence limits for the mean of a poisson distribution. More...