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Diffstat (limited to 'doc/html/boost/accumulators/impl/weighted_skewness_impl.html')
-rw-r--r--doc/html/boost/accumulators/impl/weighted_skewness_impl.html32
1 files changed, 16 insertions, 16 deletions
 diff --git a/doc/html/boost/accumulators/impl/weighted_skewness_impl.html b/doc/html/boost/accumulators/impl/weighted_skewness_impl.htmlindex 6e59911149..a8904f5083 100644--- a/doc/html/boost/accumulators/impl/weighted_skewness_impl.html+++ b/doc/html/boost/accumulators/impl/weighted_skewness_impl.html@@ -7,7 +7,7 @@ -+ @@ -21,7 +21,7 @@
-+
@@ -35,32 +35,32 @@ template<typename Sample, typename Weight> struct weighted_skewness_impl : public accumulator_base { // construct/copy/destruct- weighted_skewness_impl(dont_care);+ weighted_skewness_impl(dont_care); - // public member functions- template<typename Args> result_type result(Args const &) const;+ // public member functions+ template<typename Args> result_type result(Args const &) const; };
-

Description

-

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. The skewness can also be expressed by the simple moments:

+

Description

+

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. The skewness can also be expressed by the simple moments:

-

Equation 1.37.

-
+

Equation 1.37.

+

-

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

+

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

The skewness 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.

-

+

weighted_skewness_impl public construct/copy/destruct

-
1. weighted_skewness_impl(dont_care);
+
1. weighted_skewness_impl(dont_care);
-

-weighted_skewness_impl public member functions

-
1. template<typename Args> result_type result(Args const & args) const;
+

+weighted_skewness_impl public member functions

+
1. template<typename Args> result_type result(Args const & args) const;
@@ -74,7 +74,7 @@
-+