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Diffstat (limited to 'src/boost/libs/accumulators/test/tail_quantile.cpp')
-rw-r--r-- | src/boost/libs/accumulators/test/tail_quantile.cpp | 85 |
1 files changed, 85 insertions, 0 deletions
diff --git a/src/boost/libs/accumulators/test/tail_quantile.cpp b/src/boost/libs/accumulators/test/tail_quantile.cpp new file mode 100644 index 00000000..1f539d85 --- /dev/null +++ b/src/boost/libs/accumulators/test/tail_quantile.cpp @@ -0,0 +1,85 @@ +// (C) Copyright 2006 Eric Niebler, Olivier Gygi. +// Use, modification and distribution are subject to 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) + +// Test case for tail_quantile.hpp + +#include <boost/random.hpp> +#include <boost/test/unit_test.hpp> +#include <boost/test/floating_point_comparison.hpp> +#include <boost/accumulators/numeric/functional/vector.hpp> +#include <boost/accumulators/numeric/functional/complex.hpp> +#include <boost/accumulators/numeric/functional/valarray.hpp> +#include <boost/accumulators/accumulators.hpp> +#include <boost/accumulators/statistics/stats.hpp> +#include <boost/accumulators/statistics/tail_quantile.hpp> + +using namespace boost; +using namespace unit_test; +using namespace boost::accumulators; + +/////////////////////////////////////////////////////////////////////////////// +// test_stat +// +void test_stat() +{ + // tolerance in % + double epsilon = 1; + + std::size_t n = 100000; // number of MC steps + std::size_t c = 10000; // cache size + + typedef accumulator_set<double, stats<tag::tail_quantile<right> > > accumulator_t_right; + typedef accumulator_set<double, stats<tag::tail_quantile<left> > > accumulator_t_left; + + accumulator_t_right acc0( right_tail_cache_size = c ); + accumulator_t_right acc1( right_tail_cache_size = c ); + accumulator_t_left acc2( left_tail_cache_size = c ); + accumulator_t_left acc3( left_tail_cache_size = c ); + + // two random number generators + boost::lagged_fibonacci607 rng; + boost::normal_distribution<> mean_sigma(0,1); + boost::variate_generator<boost::lagged_fibonacci607&, boost::normal_distribution<> > normal(rng, mean_sigma); + + for (std::size_t i = 0; i < n; ++i) + { + double sample1 = rng(); + double sample2 = normal(); + acc0(sample1); + acc1(sample2); + acc2(sample1); + acc3(sample2); + } + + // check uniform distribution + BOOST_CHECK_CLOSE( quantile(acc0, quantile_probability = 0.95 ), 0.95, epsilon ); + BOOST_CHECK_CLOSE( quantile(acc0, quantile_probability = 0.975), 0.975, epsilon ); + BOOST_CHECK_CLOSE( quantile(acc0, quantile_probability = 0.99 ), 0.99, epsilon ); + BOOST_CHECK_CLOSE( quantile(acc0, quantile_probability = 0.999), 0.999, epsilon ); + BOOST_CHECK_CLOSE( quantile(acc2, quantile_probability = 0.05 ), 0.05, 4*epsilon ); + BOOST_CHECK_CLOSE( quantile(acc2, quantile_probability = 0.025), 0.025, 5*epsilon ); + BOOST_CHECK_CLOSE( quantile(acc2, quantile_probability = 0.01 ), 0.01, 7*epsilon ); + BOOST_CHECK_CLOSE( quantile(acc2, quantile_probability = 0.001), 0.001, 22*epsilon ); + + // check standard normal distribution + BOOST_CHECK_CLOSE( quantile(acc1, quantile_probability = 0.975), 1.959963, epsilon ); + BOOST_CHECK_CLOSE( quantile(acc1, quantile_probability = 0.999), 3.090232, 3*epsilon ); + BOOST_CHECK_CLOSE( quantile(acc3, quantile_probability = 0.025), -1.959963, 2*epsilon ); + BOOST_CHECK_CLOSE( quantile(acc3, quantile_probability = 0.001), -3.090232, 3*epsilon ); + +} + +/////////////////////////////////////////////////////////////////////////////// +// init_unit_test_suite +// +test_suite* init_unit_test_suite( int argc, char* argv[] ) +{ + test_suite *test = BOOST_TEST_SUITE("tail_quantile test"); + + test->add(BOOST_TEST_CASE(&test_stat)); + + return test; +} + |