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.
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inherited |
typedef numeric::functional::fdiv<Sample, Sample>::result_type boost::accumulators::impl::skewness_impl< Sample >::result_type |
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inline |
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inlineinherited |
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inlineinherited |
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inlineinherited |
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inlineinherited |
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inline |
References boost::accumulators::extract::mean, and boost::geometry::math::sqrt().