gplib::StatErrEst< SampleGenerator > Class Template Reference
[Statistical methods]

This class is used as a base for stochastic error estimation. More...

#include <StatErrEst.h>

List of all members.

Public Member Functions

std::vector< double > & GetSamples ()

public access function to generated samples

void CalcErrors (double &m, double &v)

The main function, calculates the error, by generating samples and calling the derived function.

StatErrEst (const int nsamples, SampleGenerator TheGenerator)

The constructor takes two parameters, the desired number of samples and the function object to generate them.

virtual ~StatErrEst ()

Protected Attributes

int nrealizations

How many samples are requested.

std::vector< double > Samples

the vector that holds the generated samples

Detailed Description

template<class SampleGenerator>
class gplib::StatErrEst< SampleGenerator >

This class is used as a base for stochastic error estimation.

This base class is used for stochastic error estimation with Bootstrap, Jacknife or similar methods. It takes a template parameter, the type of the function object that generates individual samples for the analysis. The only requirement is, that operator() returns a value that is convertible to a double.

Definition at line 19 of file StatErrEst.h.