celero::Statistics< T > Class Template Reference

#include <Statistics.h>

Public Member Functions
	Statistics ()=default
	Default constructor.
	Statistics (const Statistics &other)
Statistics	operator+ (const Statistics< T > &other)
Statistics &	operator+= (const Statistics &other)
Statistics &	operator= (const Statistics &other)
void	reset ()
	Resets all accumulated statistics.
void	addSample (T x)
	Adds a statistical sample.
size_t	getSize () const
double	getMean () const
double	getVariance () const
double	getStandardDeviation () const
double	getSkewness () const
double	getKurtosis () const
double	getZScore () const
	Computed as (mean - hypothesis)/standard_deviation. More...
T	getMin () const
T	getMax () const

Detailed Description

template<typename T = int64_t>
class celero::Statistics< T >

Author

John Farrier

Sources: http://www.johndcook.com/skewness_kurtosis.html http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance http://prod.sandia.gov/techlib/access-control.cgi/2008/086212.pdf http://en.wikipedia.org/wiki/Kurtosis

Member Function Documentation

getZScore()

template<typename T = int64_t>

double celero::Statistics< T >::getZScore ( ) const

inline

Computed as (mean - hypothesis)/standard_deviation.

Here, the hypothesis is our minimum value.

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

• include/celero/Statistics.h