Skewness estimation. More...
#include <statistics_fwd.hpp>


Public Types | |
| typedef numeric::functional::fdiv < Sample, Sample > ::result_type | result_type |
| typedef mpl::false_ | is_droppable |
Public Member Functions | |
| skewness_impl (dont_care) | |
| template<typename Args > | |
| result_type | result (Args const &args) const |
| detail::void_ | operator() (dont_care) |
| detail::void_ | add_ref (dont_care) |
| detail::void_ | drop (dont_care) |
| detail::void_ | on_drop (dont_care) |
Skewness estimation.
The skewness of a sample distribution is defined as the ratio of the 3rd central moment and the
-th power of the 2nd central moment (the variance) of the samples 3. The skewness can also be expressed by the simple moments:
where
are the
-th moment and
the mean (first moment) of the
samples.
|
inherited |
| typedef numeric::functional::fdiv<Sample, Sample>::result_type boost::accumulators::impl::skewness_impl< Sample >::result_type |
|
inline |
|
inlineinherited |
|
inlineinherited |
|
inlineinherited |
|
inlineinherited |
|
inline |
References boost::accumulators::extract::mean, and boost::geometry::math::sqrt().