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().