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boost::accumulators::impl::weighted_kurtosis_impl — Kurtosis estimation for weighted samples.

template<typenameSample,typenameWeight>structweighted_kurtosis_impl {// typestypedefnumeric::functional::multiplies< Sample, Weight >::result_type weighted_sample;typedefnumeric::functional::average< weighted_sample, weighted_sample >::result_type result_type;// construct/copy/destructweighted_kurtosis_impl(dont_care);// public member functionstemplate<typenameArgs> result_type result(Argsconst&)const; };

The kurtosis of a sample distribution is defined as the ratio of the 4th central moment and the square of the 2nd central moment (the variance) of the samples, minus 3. The term is added in order to ensure that the normal distribution has zero kurtosis. The kurtosis can also be expressed by the simple moments:

where are the -th moment and the mean (first moment) of the samples.

The kurtosis estimator for weighted samples is formally identical to the estimator for unweighted samples, except that the weighted counterparts of all measures it depends on are to be taken.