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1 ///////////////////////////////////////////////////////////////////////////////
2 // skewness.hpp
3 //
4 // Copyright 2006 Olivier Gygi, Daniel Egloff. Distributed under the Boost
5 // Software License, Version 1.0. (See accompanying file
6 // LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
7
8 #ifndef BOOST_ACCUMULATORS_STATISTICS_SKEWNESS_HPP_EAN_28_10_2005
9 #define BOOST_ACCUMULATORS_STATISTICS_SKEWNESS_HPP_EAN_28_10_2005
10
11 #include <limits>
12 #include <boost/mpl/placeholders.hpp>
13 #include <boost/accumulators/framework/accumulator_base.hpp>
14 #include <boost/accumulators/framework/extractor.hpp>
15 #include <boost/accumulators/framework/parameters/sample.hpp>
16 #include <boost/accumulators/numeric/functional.hpp>
17 #include <boost/accumulators/framework/depends_on.hpp>
18 #include <boost/accumulators/statistics_fwd.hpp>
19 #include <boost/accumulators/statistics/moment.hpp>
20 #include <boost/accumulators/statistics/mean.hpp>
21
22
23 namespace boost { namespace accumulators
24 {
25
26 namespace impl
27 {
28 ///////////////////////////////////////////////////////////////////////////////
29 // skewness_impl
30 /**
31 @brief Skewness estimation
32
33 The skewness of a sample distribution is defined as the ratio of the 3rd central moment and the \f$ 3/2 \f$-th power
34 of the 2nd central moment (the variance) of the samples 3. The skewness can also be expressed by the simple moments:
35
36 \f[
37 \hat{g}_1 =
38 \frac
39 {\widehat{m}_n^{(3)}-3\widehat{m}_n^{(2)}\hat{\mu}_n+2\hat{\mu}_n^3}
40 {\left(\widehat{m}_n^{(2)} - \hat{\mu}_n^{2}\right)^{3/2}}
41 \f]
42
43 where \f$ \widehat{m}_n^{(i)} \f$ are the \f$ i \f$-th moment and \f$ \hat{\mu}_n \f$ the mean (first moment) of the
44 \f$ n \f$ samples.
45 */
46 template<typename Sample>
47 struct skewness_impl
48 : accumulator_base
49 {
50 // for boost::result_of
51 typedef typename numeric::functional::fdiv<Sample, Sample>::result_type result_type;
52
53 skewness_impl(dont_care)
54 {
55 }
56
57 template<typename Args>
58 result_type result(Args const &args) const
59 {
60 return numeric::fdiv(
61 accumulators::moment<3>(args)
62 - 3. * accumulators::moment<2>(args) * mean(args)
63 + 2. * mean(args) * mean(args) * mean(args)
64 , ( accumulators::moment<2>(args) - mean(args) * mean(args) )
65 * std::sqrt( accumulators::moment<2>(args) - mean(args) * mean(args) )
66 );
67 }
68 };
69
70 } // namespace impl
71
72 ///////////////////////////////////////////////////////////////////////////////
73 // tag::skewness
74 //
75 namespace tag
76 {
77 struct skewness
78 : depends_on<mean, moment<2>, moment<3> >
79 {
80 /// INTERNAL ONLY
81 ///
82 typedef accumulators::impl::skewness_impl<mpl::_1> impl;
83 };
84 }
85
86 ///////////////////////////////////////////////////////////////////////////////
87 // extract::skewness
88 //
89 namespace extract
90 {
91 extractor<tag::skewness> const skewness = {};
92
93 BOOST_ACCUMULATORS_IGNORE_GLOBAL(skewness)
94 }
95
96 using extract::skewness;
97
98 // So that skewness can be automatically substituted with
99 // weighted_skewness when the weight parameter is non-void
100 template<>
101 struct as_weighted_feature<tag::skewness>
102 {
103 typedef tag::weighted_skewness type;
104 };
105
106 template<>
107 struct feature_of<tag::weighted_skewness>
108 : feature_of<tag::skewness>
109 {
110 };
111
112 }} // namespace boost::accumulators
113
114 #endif