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+///////////////////////////////////////////////////////////////////////////////
+// weighted_variance.hpp
+//
+// Copyright 2005 Daniel Egloff, Eric Niebler. Distributed under the Boost
+// Software License, Version 1.0. (See accompanying file
+// LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
+
+#ifndef BOOST_ACCUMULATORS_STATISTICS_WEIGHTED_VARIANCE_HPP_EAN_28_10_2005
+#define BOOST_ACCUMULATORS_STATISTICS_WEIGHTED_VARIANCE_HPP_EAN_28_10_2005
+
+#include <boost/mpl/placeholders.hpp>
+#include <boost/accumulators/framework/accumulator_base.hpp>
+#include <boost/accumulators/framework/extractor.hpp>
+#include <boost/accumulators/numeric/functional.hpp>
+#include <boost/accumulators/framework/parameters/sample.hpp>
+#include <boost/accumulators/framework/depends_on.hpp>
+#include <boost/accumulators/statistics_fwd.hpp>
+#include <boost/accumulators/statistics/count.hpp>
+#include <boost/accumulators/statistics/variance.hpp>
+#include <boost/accumulators/statistics/weighted_sum.hpp>
+#include <boost/accumulators/statistics/weighted_mean.hpp>
+#include <boost/accumulators/statistics/weighted_moment.hpp>
+
+namespace boost { namespace accumulators
+{
+
+namespace impl
+{
+ //! Lazy calculation of variance of weighted samples.
+ /*!
+ The default implementation of the variance of weighted samples is based on the second moment
+ \f$\widehat{m}_n^{(2)}\f$ (weighted_moment<2>) and the mean\f$ \hat{\mu}_n\f$ (weighted_mean):
+ \f[
+ \hat{\sigma}_n^2 = \widehat{m}_n^{(2)}-\hat{\mu}_n^2,
+ \f]
+ where \f$n\f$ is the number of samples.
+ */
+ template<typename Sample, typename Weight, typename MeanFeature>
+ struct lazy_weighted_variance_impl
+ : accumulator_base
+ {
+ typedef typename numeric::functional::multiplies<Sample, Weight>::result_type weighted_sample;
+ // for boost::result_of
+ typedef typename numeric::functional::average<weighted_sample, Weight>::result_type result_type;
+
+ lazy_weighted_variance_impl(dont_care) {}
+
+ template<typename Args>
+ result_type result(Args const &args) const
+ {
+ extractor<MeanFeature> const some_mean = {};
+ result_type tmp = some_mean(args);
+ return accumulators::weighted_moment<2>(args) - tmp * tmp;
+ }
+ };
+
+ //! Iterative calculation of variance of weighted samples.
+ /*!
+ Iterative calculation of variance of weighted samples:
+ \f[
+ \hat{\sigma}_n^2 =
+ \frac{\bar{w}_n - w_n}{\bar{w}_n}\hat{\sigma}_{n - 1}^2
+ + \frac{w_n}{\bar{w}_n - w_n}\left(X_n - \hat{\mu}_n\right)^2
+ ,\quad n\ge2,\quad\hat{\sigma}_0^2 = 0.
+ \f]
+ where \f$\bar{w}_n\f$ is the sum of the \f$n\f$ weights \f$w_i\f$ and \f$\hat{\mu}_n\f$
+ the estimate of the mean of the weighted smaples. Note that the sample variance is not defined for
+ \f$n <= 1\f$.
+ */
+ template<typename Sample, typename Weight, typename MeanFeature, typename Tag>
+ struct weighted_variance_impl
+ : accumulator_base
+ {
+ typedef typename numeric::functional::multiplies<Sample, Weight>::result_type weighted_sample;
+ // for boost::result_of
+ typedef typename numeric::functional::average<weighted_sample, Weight>::result_type result_type;
+
+ template<typename Args>
+ weighted_variance_impl(Args const &args)
+ : weighted_variance(numeric::average(args[sample | Sample()], numeric::one<Weight>::value))
+ {
+ }
+
+ template<typename Args>
+ void operator ()(Args const &args)
+ {
+ std::size_t cnt = count(args);
+
+ if(cnt > 1)
+ {
+ extractor<MeanFeature> const some_mean = {};
+
+ result_type tmp = args[parameter::keyword<Tag>::get()] - some_mean(args);
+
+ this->weighted_variance =
+ numeric::average(this->weighted_variance * (sum_of_weights(args) - args[weight]), sum_of_weights(args))
+ + numeric::average(tmp * tmp * args[weight], sum_of_weights(args) - args[weight] );
+ }
+ }
+
+ result_type result(dont_care) const
+ {
+ return this->weighted_variance;
+ }
+
+ private:
+ result_type weighted_variance;
+ };
+
+} // namespace impl
+
+///////////////////////////////////////////////////////////////////////////////
+// tag::weighted_variance
+// tag::immediate_weighted_variance
+//
+namespace tag
+{
+ struct lazy_weighted_variance
+ : depends_on<weighted_moment<2>, weighted_mean>
+ {
+ /// INTERNAL ONLY
+ ///
+ typedef accumulators::impl::lazy_weighted_variance_impl<mpl::_1, mpl::_2, weighted_mean> impl;
+ };
+
+ struct weighted_variance
+ : depends_on<count, immediate_weighted_mean>
+ {
+ /// INTERNAL ONLY
+ ///
+ typedef accumulators::impl::weighted_variance_impl<mpl::_1, mpl::_2, immediate_weighted_mean, sample> impl;
+ };
+}
+
+///////////////////////////////////////////////////////////////////////////////
+// extract::weighted_variance
+// extract::immediate_weighted_variance
+//
+namespace extract
+{
+ extractor<tag::lazy_weighted_variance> const lazy_weighted_variance = {};
+ extractor<tag::weighted_variance> const weighted_variance = {};
+
+ BOOST_ACCUMULATORS_IGNORE_GLOBAL(lazy_weighted_variance)
+ BOOST_ACCUMULATORS_IGNORE_GLOBAL(weighted_variance)
+}
+
+using extract::lazy_weighted_variance;
+using extract::weighted_variance;
+
+// weighted_variance(lazy) -> lazy_weighted_variance
+template<>
+struct as_feature<tag::weighted_variance(lazy)>
+{
+ typedef tag::lazy_weighted_variance type;
+};
+
+// weighted_variance(immediate) -> weighted_variance
+template<>
+struct as_feature<tag::weighted_variance(immediate)>
+{
+ typedef tag::weighted_variance type;
+};
+
+////////////////////////////////////////////////////////////////////////////
+//// droppable_accumulator<weighted_variance_impl>
+//// need to specialize droppable lazy weighted_variance to cache the result at the
+//// point the accumulator is dropped.
+///// INTERNAL ONLY
+/////
+//template<typename Sample, typename Weight, typename MeanFeature>
+//struct droppable_accumulator<impl::weighted_variance_impl<Sample, Weight, MeanFeature> >
+// : droppable_accumulator_base<
+// with_cached_result<impl::weighted_variance_impl<Sample, Weight, MeanFeature> >
+// >
+//{
+// template<typename Args>
+// droppable_accumulator(Args const &args)
+// : droppable_accumulator::base(args)
+// {
+// }
+//};
+
+}} // namespace boost::accumulators
+
+#endif