Classes | |
| struct | coherent_tail_mean_impl | 
| Estimation of the coherent tail mean based on order statistics (for both left and right tails)  More... | |
| struct | count_impl | 
| struct | covariance_impl | 
| Covariance Estimator.  More... | |
| struct | density_impl | 
| Histogram density estimator.  More... | |
| struct | error_of_impl | 
| INTERNAL ONLY.  More... | |
| struct | error_of_mean_impl | 
| struct | extended_p_square_impl | 
Multiple quantile estimation with the extended   algorithm.  More... | |
| struct | extended_p_square_quantile_impl | 
Quantile estimation using the extended   algorithm for weighted and unweighted samples.  More... | |
| struct | external_impl | 
| INTERNAL ONLY.  More... | |
| struct | immediate_mean_impl | 
| struct | immediate_rolling_mean_impl | 
| struct | immediate_rolling_variance_impl | 
| Iterative calculation of the rolling variance.  More... | |
| struct | immediate_weighted_mean_impl | 
| struct | kurtosis_impl | 
| Kurtosis estimation.  More... | |
| struct | lazy_rolling_mean_impl | 
| struct | lazy_rolling_variance_impl | 
| Immediate (lazy) calculation of the rolling variance.  More... | |
| struct | lazy_variance_impl | 
| Lazy calculation of variance.  More... | |
| struct | lazy_weighted_variance_impl | 
| Lazy calculation of variance of weighted samples.  More... | |
| struct | max_impl | 
| struct | mean_impl | 
| struct | median_impl | 
Median estimation based on the   quantile estimator.  More... | |
| struct | min_impl | 
| struct | moment_impl | 
| struct | non_coherent_tail_mean_impl | 
| Estimation of the (non-coherent) tail mean based on order statistics (for both left and right tails)  More... | |
| struct | non_coherent_weighted_tail_mean_impl | 
| Estimation of the (non-coherent) weighted tail mean based on order statistics (for both left and right tails)  More... | |
| struct | p_square_cumulative_distribution_impl | 
Histogram calculation of the cumulative distribution with the   algorithm.  More... | |
| struct | p_square_quantile_impl | 
Single quantile estimation with the   algorithm.  More... | |
| struct | peaks_over_threshold_impl | 
| Peaks over Threshold Method for Quantile and Tail Mean Estimation.  More... | |
| struct | peaks_over_threshold_prob_impl | 
| Peaks over Threshold Method for Quantile and Tail Mean Estimation.  More... | |
| struct | pot_quantile_impl | 
| Quantile Estimation based on Peaks over Threshold Method (for both left and right tails)  More... | |
| struct | pot_tail_mean_impl | 
| Estimation of the (coherent) tail mean based on the peaks over threshold method (for both left and right tails)  More... | |
| struct | reference_accumulator_impl | 
| struct | rolling_count_impl | 
| struct | rolling_mean_impl | 
| struct | rolling_moment_impl | 
| struct | rolling_sum_impl | 
| struct | rolling_window_impl | 
| struct | rolling_window_plus1_impl | 
| struct | skewness_impl | 
| Skewness estimation.  More... | |
| struct | sum_impl | 
| struct | sum_kahan_impl | 
| struct | tail_impl | 
| struct | tail_quantile_impl | 
| Tail quantile estimation based on order statistics (for both left and right tails)  More... | |
| struct | tail_variate_impl | 
| struct | tail_variate_means_impl | 
| Estimation of the absolute and relative tail variate means (for both left and right tails)  More... | |
| struct | this_feature_has_no_error_calculation | 
| INTERNAL ONLY.  More... | |
| struct | value_accumulator_impl | 
| struct | variance_impl | 
| Iterative calculation of variance.  More... | |
| struct | weighted_covariance_impl | 
| Weighted Covariance Estimator.  More... | |
| struct | weighted_density_impl | 
| Histogram density estimator for weighted samples.  More... | |
| struct | weighted_extended_p_square_impl | 
Multiple quantile estimation with the extended   algorithm for weighted samples.  More... | |
| struct | weighted_kurtosis_impl | 
| Kurtosis estimation for weighted samples.  More... | |
| struct | weighted_mean_impl | 
| struct | weighted_median_impl | 
Median estimation for weighted samples based on the   quantile estimator.  More... | |
| struct | weighted_moment_impl | 
| struct | weighted_p_square_cumulative_distribution_impl | 
Histogram calculation of the cumulative distribution with the   algorithm for weighted samples.  More... | |
| struct | weighted_p_square_quantile_impl | 
Single quantile estimation with the   algorithm for weighted samples.  More... | |
| struct | weighted_peaks_over_threshold_impl | 
| Weighted Peaks over Threshold Method for Weighted Quantile and Weighted Tail Mean Estimation.  More... | |
| struct | weighted_peaks_over_threshold_prob_impl | 
| Peaks over Threshold Method for Quantile and Tail Mean Estimation.  More... | |
| struct | weighted_skewness_impl | 
| Skewness estimation for weighted samples.  More... | |
| struct | weighted_sum_impl | 
| struct | weighted_sum_kahan_impl | 
| struct | weighted_tail_quantile_impl | 
| Tail quantile estimation based on order statistics of weighted samples (for both left and right tails)  More... | |
| struct | weighted_tail_variate_means_impl | 
| Estimation of the absolute and relative weighted tail variate means (for both left and right tails)  More... | |
| struct | weighted_variance_impl | 
| Iterative calculation of variance of weighted samples.  More... | |
| struct | with_density_median_impl | 
| Median estimation based on the density estimator.  More... | |
| struct | with_density_weighted_median_impl | 
| Median estimation for weighted samples based on the density estimator.  More... | |
| struct | with_p_square_cumulative_distribution_median_impl | 
Median estimation based on the   cumulative distribution estimator.  More... | |
| struct | with_p_square_cumulative_distribution_weighted_median_impl | 
Median estimation for weighted samples based on the   cumulative distribution estimator.  More... | |
Functions | |
| template<typename Args > | |
| bool | is_rolling_window_plus1_full (Args const &args) | 
| bool boost::accumulators::impl::is_rolling_window_plus1_full | ( | Args const & | args | ) | 
Referenced by boost::accumulators::impl::rolling_sum_impl< Sample >::operator()(), boost::accumulators::impl::rolling_moment_impl< N, Sample >::operator()(), boost::accumulators::impl::immediate_rolling_mean_impl< Sample >::operator()(), boost::accumulators::impl::immediate_rolling_variance_impl< Sample >::operator()(), boost::accumulators::impl::rolling_count_impl< Sample >::result(), and boost::accumulators::impl::rolling_window_impl< Sample >::result().