| // Copyright Paul A. Bristow 2006. |
| // Copyright John Maddock 2006. |
| |
| // 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_students_t.cpp |
| |
| // http://en.wikipedia.org/wiki/Student%27s_t_distribution |
| // http://www.itl.nist.gov/div898/handbook/eda/section3/eda3664.htm |
| |
| // Basic sanity test for Student's t probability (quantile) (0. < p < 1). |
| // and Student's t probability Quantile (0. < p < 1). |
| |
| #ifdef _MSC_VER |
| # pragma warning (disable :4127) // conditional expression is constant. |
| #endif |
| |
| #define BOOST_TEST_MAIN |
| #include <boost/test/unit_test.hpp> // Boost.Test |
| #include <boost/test/floating_point_comparison.hpp> |
| |
| #include <boost/math/concepts/real_concept.hpp> // for real_concept |
| #include <boost/math/distributions/students_t.hpp> |
| using boost::math::students_t_distribution; |
| #include <boost/math/tools/test.hpp> // for real_concept |
| #include "test_out_of_range.hpp" |
| |
| #include <iostream> |
| using std::cout; |
| using std::endl; |
| using std::setprecision; |
| #include <limits> |
| using std::numeric_limits; |
| |
| template <class RealType> |
| RealType naive_pdf(RealType v, RealType t) |
| { |
| // Calculate the pdf of the students t in a deliberately |
| // naive way, using equation (5) from |
| // http://mathworld.wolfram.com/Studentst-Distribution.html |
| // This is equivalent to, but a different method |
| // to the one in the actual implementation, so can be used as |
| // a very basic sanity check. However some published values |
| // would be nice.... |
| |
| using namespace std; // for ADL |
| using boost::math::beta; |
| |
| //return pow(v / (v + t*t), (1+v) / 2) / (sqrt(v) * beta(v/2, RealType(0.5f))); |
| RealType result = boost::math::tgamma_ratio((v+1)/2, v/2); |
| result /= sqrt(v * boost::math::constants::pi<RealType>()); |
| result /= pow(1 + t*t/v, (v+1)/2); |
| return result; |
| } |
| |
| template <class RealType> |
| void test_spots(RealType) |
| { |
| // Basic sanity checks |
| |
| RealType tolerance = static_cast<RealType>(1e-4); // 1e-6 (as %) |
| // Some tests only pass at 1e-5 because probability value is less accurate, |
| // a digit in 6th decimal place, although calculated using |
| // a t-distribution generator (claimed 6 decimal digits) at |
| // http://faculty.vassar.edu/lowry/VassarStats.html |
| // http://faculty.vassar.edu/lowry/tsamp.html |
| // df = 5, +/-t = 2.0, 1-tailed = 0.050970, 2-tailed = 0.101939 |
| |
| cout << "Tolerance for type " << typeid(RealType).name() << " is " << tolerance << " %" << endl; |
| |
| // http://en.wikipedia.org/wiki/Student%27s_t_distribution#Table_of_selected_values |
| // Using tabulated value of t = 3.182 for 0.975, 3 df, one-sided. |
| |
| // http://www.mth.kcl.ac.uk/~shaww/web_page/papers/Tdistribution06.pdf refers to: |
| |
| // A lookup table of quantiles of the RealType distribution |
| // for 1 to 25 in steps of 0.1 is provided in CSV form at: |
| // www.mth.kcl.ac.uk/~shaww/web_page/papers/Tsupp/tquantiles.csv |
| // gives accurate t of -3.1824463052837 and 3 degrees of freedom. |
| // Values below are from this source, saved as tquantiles.xls. |
| // DF are across the columns, probabilities down the rows |
| // and the t- values (quantiles) are shown. |
| // These values are probably accurate to nearly 64-bit double |
| // (perhaps 14 decimal digits). |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(2), // degrees_of_freedom |
| static_cast<RealType>(-6.96455673428326)), // t |
| static_cast<RealType>(0.01), // probability. |
| tolerance); // % |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(5), // degrees_of_freedom |
| static_cast<RealType>(-3.36492999890721)), // t |
| static_cast<RealType>(0.01), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(1), // degrees_of_freedom |
| static_cast<RealType>(-31830.988607907)), // t |
| static_cast<RealType>(0.00001), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(25.), // degrees_of_freedom |
| static_cast<RealType>(-5.2410429995425)), // t |
| static_cast<RealType>(0.00001), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(1), // degrees_of_freedom |
| static_cast<RealType>(-63661.97723)), // t |
| static_cast<RealType>(0.000005), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(5.), // degrees_of_freedom |
| static_cast<RealType>(-17.89686614)), // t |
| static_cast<RealType>(0.000005), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(25.), // degrees_of_freedom |
| static_cast<RealType>(-5.510848412)), // t |
| static_cast<RealType>(0.000005), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(10.), // degrees_of_freedom |
| static_cast<RealType>(-1.812461123)), // t |
| static_cast<RealType>(0.05), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(10), // degrees_of_freedom |
| static_cast<RealType>(1.812461123)), // t |
| static_cast<RealType>(0.95), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| complement( |
| students_t_distribution<RealType>(10), // degrees_of_freedom |
| static_cast<RealType>(1.812461123))), // t |
| static_cast<RealType>(0.05), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(10), // degrees_of_freedom |
| static_cast<RealType>(9.751995491)), // t |
| static_cast<RealType>(0.999999), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(10.), // degrees_of_freedom - for ALL degrees_of_freedom! |
| static_cast<RealType>(0.)), // t |
| static_cast<RealType>(0.5), // probability. |
| tolerance); |
| |
| |
| // Student's t Inverse function tests. |
| // Special cases |
| |
| BOOST_CHECK_THROW(boost::math::quantile( |
| students_t_distribution<RealType>(1.), // degrees_of_freedom (ignored). |
| static_cast<RealType>(0)), std::overflow_error); // t == -infinity. |
| |
| BOOST_CHECK_THROW(boost::math::quantile( |
| students_t_distribution<RealType>(1.), // degrees_of_freedom (ignored). |
| static_cast<RealType>(1)), std::overflow_error); // t == +infinity. |
| |
| BOOST_CHECK_EQUAL(boost::math::quantile( |
| students_t_distribution<RealType>(1.), // degrees_of_freedom (ignored). |
| static_cast<RealType>(0.5)), // probability == half - special case. |
| static_cast<RealType>(0)); // t == zero. |
| |
| BOOST_CHECK_EQUAL(boost::math::quantile( |
| complement( |
| students_t_distribution<RealType>(1.), // degrees_of_freedom (ignored). |
| static_cast<RealType>(0.5))), // probability == half - special case. |
| static_cast<RealType>(0)); // t == zero. |
| |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(1.), // degrees_of_freedom (ignored). |
| static_cast<RealType>(0.5)), // probability == half - special case. |
| static_cast<RealType>(0), // t == zero. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( // Tests of p middling. |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(5.), // degrees_of_freedom |
| static_cast<RealType>(-0.559429644)), // t |
| static_cast<RealType>(0.3), // probability. |
| tolerance); |
| BOOST_CHECK_CLOSE( |
| ::boost::math::quantile( |
| students_t_distribution<RealType>(5.), // degrees_of_freedom |
| static_cast<RealType>(0.3)), // probability. |
| static_cast<RealType>(-0.559429644), // t |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::quantile( |
| complement( |
| students_t_distribution<RealType>(5.), // degrees_of_freedom |
| static_cast<RealType>(0.7))), // probability. |
| static_cast<RealType>(-0.559429644), // t |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( // Tests of p high. |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(5.), // degrees_of_freedom |
| static_cast<RealType>(1.475884049)), // t |
| static_cast<RealType>(0.9), // probability. |
| tolerance); |
| BOOST_CHECK_CLOSE( |
| ::boost::math::quantile( |
| students_t_distribution<RealType>(5.), // degrees_of_freedom |
| static_cast<RealType>(0.9)), // probability. |
| static_cast<RealType>(1.475884049), // t |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( // Tests of p low. |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(5.), // degrees_of_freedom |
| static_cast<RealType>(-1.475884049)), // t |
| static_cast<RealType>(0.1), // probability. |
| tolerance); |
| BOOST_CHECK_CLOSE( |
| ::boost::math::quantile( |
| students_t_distribution<RealType>(5.), // degrees_of_freedom |
| static_cast<RealType>(0.1)), // probability. |
| static_cast<RealType>(-1.475884049), // t |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::cdf( |
| students_t_distribution<RealType>(2.), // degrees_of_freedom |
| static_cast<RealType>(-6.96455673428326)), // t |
| static_cast<RealType>(0.01), // probability. |
| tolerance); |
| |
| BOOST_CHECK_CLOSE( |
| ::boost::math::quantile( |
| students_t_distribution<RealType>(2.), // degrees_of_freedom |
| static_cast<RealType>(0.01)), // probability. |
| static_cast<RealType>(-6.96455673428326), // t |
| tolerance); |
| |
| // |
| // Some special tests to exercise the double-precision approximations |
| // to the quantile: |
| // |
| // tolerance is 50 eps expressed as a persent: |
| // |
| tolerance = boost::math::tools::epsilon<RealType>() * 5000; |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(2.00390625L), // degrees_of_freedom. |
| static_cast<RealType>(0.5625L)), // probability. |
| static_cast<RealType>(0.178133131573788108465134803511798566L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(1L), // degrees_of_freedom. |
| static_cast<RealType>(0.03125L)), // probability. |
| static_cast<RealType>(-10.1531703876088604621071476634194722L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(1L), // degrees_of_freedom. |
| static_cast<RealType>(0.875L)), // probability. |
| static_cast<RealType>(2.41421356237309504880168872421390942L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(2L), // degrees_of_freedom. |
| static_cast<RealType>(0.03125L)), // probability. |
| static_cast<RealType>(-3.81000381000571500952501666878143315L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(2L), // degrees_of_freedom. |
| static_cast<RealType>(0.875L)), // probability. |
| static_cast<RealType>(1.60356745147454630810732088527854144L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(4L), // degrees_of_freedom. |
| static_cast<RealType>(0.03125L)), // probability. |
| static_cast<RealType>(-2.56208431914409044861223047927635034L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(4L), // degrees_of_freedom. |
| static_cast<RealType>(0.875L)), // probability. |
| static_cast<RealType>(1.34439755550909142430681981315923574L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(6L), // degrees_of_freedom. |
| static_cast<RealType>(0.03125L)), // probability. |
| static_cast<RealType>(-2.28348667906973065861212495010082952L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(6L), // degrees_of_freedom. |
| static_cast<RealType>(0.875L)), // probability. |
| static_cast<RealType>(1.27334930914664286821103236660071906L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(8L), // degrees_of_freedom. |
| static_cast<RealType>(0.03125L)), // probability. |
| static_cast<RealType>(-2.16296475406014719458642055768894376L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(8L), // degrees_of_freedom. |
| static_cast<RealType>(0.875L)), // probability. |
| static_cast<RealType>(1.24031826078267310637634677726479038L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(10L), // degrees_of_freedom. |
| static_cast<RealType>(0.03125L)), // probability. |
| static_cast<RealType>(-2.09596136475109350926340169211429572L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(10L), // degrees_of_freedom. |
| static_cast<RealType>(0.875L)), // probability. |
| static_cast<RealType>(1.2212553950039221407185188573696834L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(2.125L), // degrees_of_freedom. |
| static_cast<RealType>(0.03125L)), // probability. |
| static_cast<RealType>(-3.62246031671091980110493455859296532L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(2.125L), // degrees_of_freedom. |
| static_cast<RealType>(0.875L)), // probability. |
| static_cast<RealType>(1.56905270993307293450392958697861969L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(3L), // degrees_of_freedom. |
| static_cast<RealType>(0.03125L)), // probability. |
| static_cast<RealType>(-2.90004411882995814036141778367917946L), // t. |
| tolerance); |
| BOOST_CHECK_CLOSE(boost::math::quantile( |
| students_t_distribution<RealType>(3L), // degrees_of_freedom. |
| static_cast<RealType>(0.875L)), // probability. |
| static_cast<RealType>(1.42262528146180931868169289781115099L), // t. |
| tolerance); |
| |
| if(boost::is_floating_point<RealType>::value) |
| { |
| BOOST_CHECK_CLOSE(boost::math::cdf( |
| students_t_distribution<RealType>(1e30f), |
| boost::math::quantile( |
| students_t_distribution<RealType>(1e30f), static_cast<RealType>(0.25f))), |
| static_cast<RealType>(0.25f), tolerance); |
| BOOST_CHECK_CLOSE(boost::math::cdf( |
| students_t_distribution<RealType>(1e20f), |
| boost::math::quantile( |
| students_t_distribution<RealType>(1e20f), static_cast<RealType>(0.25f))), |
| static_cast<RealType>(0.25f), tolerance); |
| BOOST_CHECK_CLOSE(boost::math::cdf( |
| students_t_distribution<RealType>(static_cast<RealType>(0x7FFFFFFF)), |
| boost::math::quantile( |
| students_t_distribution<RealType>(static_cast<RealType>(0x7FFFFFFF)), static_cast<RealType>(0.25f))), |
| static_cast<RealType>(0.25f), tolerance); |
| BOOST_CHECK_CLOSE(boost::math::cdf( |
| students_t_distribution<RealType>(static_cast<RealType>(0x10000000)), |
| boost::math::quantile( |
| students_t_distribution<RealType>(static_cast<RealType>(0x10000000)), static_cast<RealType>(0.25f))), |
| static_cast<RealType>(0.25f), tolerance); |
| BOOST_CHECK_CLOSE(boost::math::cdf( |
| students_t_distribution<RealType>(static_cast<RealType>(0x0fffffff)), |
| boost::math::quantile( |
| students_t_distribution<RealType>(static_cast<RealType>(0x0fffffff)), static_cast<RealType>(0.25f))), |
| static_cast<RealType>(0.25f), tolerance); |
| } |
| |
| // Student's t pdf tests. |
| // for PDF checks, use 100 eps tolerance expressed as a percent: |
| tolerance = boost::math::tools::epsilon<RealType>() * 10000; |
| |
| for(unsigned i = 1; i < 20; i += 3) |
| { |
| for(RealType r = -10; r < 10; r += 0.125) |
| { |
| //std::cout << "df=" << i << " t=" << r << std::endl; |
| BOOST_CHECK_CLOSE( |
| boost::math::pdf( |
| students_t_distribution<RealType>(static_cast<RealType>(i)), |
| r), |
| naive_pdf<RealType>(static_cast<RealType>(i), r), |
| tolerance); |
| } |
| } |
| |
| RealType tol2 = boost::math::tools::epsilon<RealType>() * 5; |
| students_t_distribution<RealType> dist(8); |
| RealType x = static_cast<RealType>(0.125); |
| using namespace std; // ADL of std names. |
| // mean: |
| BOOST_CHECK_CLOSE( |
| mean(dist) |
| , static_cast<RealType>(0), tol2); |
| // variance: |
| // BOOST_CHECK_CLOSE( |
| // variance(dist) |
| // , static_cast<RealType>(13.0L / 6.0L), tol2); |
| //// was , static_cast<RealType>(8.0L / 6.0L), tol2); |
| // std deviation: |
| BOOST_CHECK_CLOSE( |
| standard_deviation(dist) |
| , static_cast<RealType>(sqrt(8.0L / 6.0L)), tol2); |
| // hazard: |
| BOOST_CHECK_CLOSE( |
| hazard(dist, x) |
| , pdf(dist, x) / cdf(complement(dist, x)), tol2); |
| // cumulative hazard: |
| BOOST_CHECK_CLOSE( |
| chf(dist, x) |
| , -log(cdf(complement(dist, x))), tol2); |
| // coefficient_of_variation: |
| BOOST_CHECK_THROW( |
| coefficient_of_variation(dist), |
| std::overflow_error); |
| // mode: |
| BOOST_CHECK_CLOSE( |
| mean(dist) |
| , static_cast<RealType>(0), tol2); |
| // median: |
| BOOST_CHECK_CLOSE( |
| median(dist) |
| , static_cast<RealType>(0), tol2); |
| // skewness: |
| BOOST_CHECK_CLOSE( |
| skewness(dist) |
| , static_cast<RealType>(0), tol2); |
| // kurtosis: |
| BOOST_CHECK_CLOSE( |
| kurtosis(dist) |
| , static_cast<RealType>(4.5), tol2); |
| // kurtosis excess: |
| BOOST_CHECK_CLOSE( |
| kurtosis_excess(dist) |
| , static_cast<RealType>(1.5), tol2); |
| |
| // Parameter estimation. These results are close to but |
| // not identical to those reported on the NIST website at |
| // http://www.itl.nist.gov/div898/handbook/prc/section2/prc222.htm |
| // the NIST results appear to be calculated using a normal |
| // approximation, which slightly under-estimates the degrees of |
| // freedom required, particularly when the result is small. |
| // |
| BOOST_CHECK_EQUAL( |
| ceil(students_t_distribution<RealType>::find_degrees_of_freedom( |
| static_cast<RealType>(0.5), |
| static_cast<RealType>(0.005), |
| static_cast<RealType>(0.01), |
| static_cast<RealType>(1.0))), |
| 99); |
| BOOST_CHECK_EQUAL( |
| ceil(students_t_distribution<RealType>::find_degrees_of_freedom( |
| static_cast<RealType>(1.5), |
| static_cast<RealType>(0.005), |
| static_cast<RealType>(0.01), |
| static_cast<RealType>(1.0))), |
| 14); |
| BOOST_CHECK_EQUAL( |
| ceil(students_t_distribution<RealType>::find_degrees_of_freedom( |
| static_cast<RealType>(0.5), |
| static_cast<RealType>(0.025), |
| static_cast<RealType>(0.01), |
| static_cast<RealType>(1.0))), |
| 76); |
| BOOST_CHECK_EQUAL( |
| ceil(students_t_distribution<RealType>::find_degrees_of_freedom( |
| static_cast<RealType>(1.5), |
| static_cast<RealType>(0.025), |
| static_cast<RealType>(0.01), |
| static_cast<RealType>(1.0))), |
| 11); |
| BOOST_CHECK_EQUAL( |
| ceil(students_t_distribution<RealType>::find_degrees_of_freedom( |
| static_cast<RealType>(0.5), |
| static_cast<RealType>(0.05), |
| static_cast<RealType>(0.01), |
| static_cast<RealType>(1.0))), |
| 65); |
| BOOST_CHECK_EQUAL( |
| ceil(students_t_distribution<RealType>::find_degrees_of_freedom( |
| static_cast<RealType>(1.5), |
| static_cast<RealType>(0.05), |
| static_cast<RealType>(0.01), |
| static_cast<RealType>(1.0))), |
| 9); |
| |
| // Test for large degrees of freedom when should be same as normal. |
| RealType inf = std::numeric_limits<RealType>::infinity(); |
| RealType nan = std::numeric_limits<RealType>::quiet_NaN(); |
| |
| std::string type = typeid(RealType).name(); |
| // if (type != "class boost::math::concepts::real_concept") fails for gcc |
| if (typeid(RealType) != typeid(boost::math::concepts::real_concept)) |
| { // Ordinary floats only. |
| RealType limit = 1/ boost::math::tools::epsilon<RealType>(); |
| // Default policy to get full accuracy. |
| // std::cout << "Switch over to normal if df > " << limit << std::endl; |
| // float Switch over to normal if df > 8.38861e+006 |
| // double Switch over to normal if df > 4.5036e+015 |
| // Can't test real_concept - doesn't converge. |
| |
| boost::math::normal_distribution<RealType> n(0, 1); // |
| students_t_distribution<RealType> st(boost::math::tools::max_value<RealType>()); // Well over the switchover point, |
| // PDF |
| BOOST_CHECK_EQUAL(pdf(st, 0), pdf(n, 0.)); // should be exactly equal. |
| students_t_distribution<RealType> st2(limit /5 ); // Just below the switchover point, |
| BOOST_CHECK_CLOSE_FRACTION(pdf(st2, 0), pdf(n, 0.), tolerance); // should be very close to normal. |
| // CDF |
| BOOST_CHECK_EQUAL(cdf(st, 0), cdf(n, 0.)); // should be exactly equal. |
| BOOST_CHECK_CLOSE_FRACTION(cdf(st2, 0), cdf(n, 0.), tolerance); // should be very close to normal. |
| |
| // Tests for df = infinity. |
| students_t_distribution<RealType> infdf(inf); |
| BOOST_CHECK_EQUAL(infdf.degrees_of_freedom(), inf); |
| BOOST_CHECK_EQUAL(mean(infdf), 0); // OK. |
| BOOST_CHECK_THROW(students_t_distribution<RealType> minfdf(-inf), std::domain_error); |
| BOOST_CHECK_THROW(students_t_distribution<RealType> minfdf(nan), std::domain_error); |
| BOOST_CHECK_THROW(students_t_distribution<RealType> minfdf(-nan), std::domain_error); |
| |
| // BOOST_CHECK_CLOSE_FRACTION(pdf(infdf, 0), static_cast<RealType>(0.3989422804014326779399460599343818684759L), tolerance); |
| BOOST_CHECK_CLOSE_FRACTION(pdf(infdf, 0),boost::math::constants::one_div_root_two_pi<RealType>() , tolerance); |
| BOOST_CHECK_CLOSE_FRACTION(cdf(infdf, 0),boost::math::constants::half<RealType>() , tolerance); |
| |
| // Checks added for Trac #7717 report by Thomas Mang. |
| |
| BOOST_CHECK_THROW(quantile(dist, -1), std::domain_error); |
| BOOST_CHECK_THROW(quantile(dist, 2), std::domain_error); |
| BOOST_CHECK_THROW(pdf(students_t_distribution<RealType>(0), 0), std::domain_error); |
| BOOST_CHECK_THROW(pdf(students_t_distribution<RealType>(-1), 0), std::domain_error); |
| |
| // Check on df for mean (moment k = 1) |
| BOOST_CHECK_THROW(mean(students_t_distribution<RealType>(nan)), std::domain_error); |
| // BOOST_CHECK_THROW(mean(students_t_distribution<RealType>(inf)), std::domain_error); inf is now OK |
| BOOST_CHECK_THROW(mean(students_t_distribution<RealType>(-1)), std::domain_error); |
| BOOST_CHECK_THROW(mean(students_t_distribution<RealType>(0)), std::domain_error); |
| BOOST_CHECK_THROW(mean(students_t_distribution<RealType>(1)), std::domain_error); // df == k |
| BOOST_CHECK_EQUAL(mean(students_t_distribution<RealType>(2)), 0); // OK. |
| BOOST_CHECK_EQUAL(mean(students_t_distribution<RealType>(inf)), 0); // OK. |
| |
| |
| // Check on df for variance (moment 2) |
| BOOST_CHECK_THROW(variance(students_t_distribution<RealType>(nan)), std::domain_error); |
| // BOOST_CHECK_THROW(variance(students_t_distribution<RealType>(inf)), std::domain_error); // inf is now OK. |
| BOOST_CHECK_THROW(variance(students_t_distribution<RealType>(-1)), std::domain_error); |
| BOOST_CHECK_THROW(variance(students_t_distribution<RealType>(0)), std::domain_error); |
| BOOST_CHECK_THROW(variance(students_t_distribution<RealType>(1)), std::domain_error); |
| BOOST_CHECK_THROW(variance(students_t_distribution<RealType>(static_cast<RealType>(1.99999L))), std::domain_error); |
| BOOST_CHECK_THROW(variance(students_t_distribution<RealType>(static_cast<RealType>(1.99999L))), std::domain_error); |
| BOOST_CHECK_THROW(variance(students_t_distribution<RealType>(2)), std::domain_error); // df == |
| BOOST_CHECK_EQUAL(variance(students_t_distribution<RealType>(2.5)), 5); // OK. |
| BOOST_CHECK_EQUAL(variance(students_t_distribution<RealType>(3)), 3); // OK. |
| BOOST_CHECK_EQUAL(variance(students_t_distribution<RealType>(inf)), 1); // OK. |
| |
| // Check on df for skewness (moment 3) |
| BOOST_CHECK_THROW(skewness(students_t_distribution<RealType>(nan)), std::domain_error); |
| BOOST_CHECK_THROW(skewness(students_t_distribution<RealType>(-1)), std::domain_error); |
| BOOST_CHECK_THROW(skewness(students_t_distribution<RealType>(0)), std::domain_error); |
| BOOST_CHECK_THROW(skewness(students_t_distribution<RealType>(1)), std::domain_error); |
| BOOST_CHECK_THROW(skewness(students_t_distribution<RealType>(1.5L)), std::domain_error); |
| BOOST_CHECK_THROW(skewness(students_t_distribution<RealType>(2)), std::domain_error); |
| BOOST_CHECK_THROW(skewness(students_t_distribution<RealType>(3)), std::domain_error); // df == k |
| BOOST_CHECK_EQUAL(skewness(students_t_distribution<RealType>(3.5)), 0); // OK. |
| BOOST_CHECK_EQUAL(skewness(students_t_distribution<RealType>(4)), 0); // OK. |
| BOOST_CHECK_EQUAL(skewness(students_t_distribution<RealType>(inf)), 0); // OK. |
| |
| // Check on df for kurtosis_excess (moment 4) |
| BOOST_CHECK_THROW(kurtosis_excess(students_t_distribution<RealType>(nan)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis_excess(students_t_distribution<RealType>(-1)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis_excess(students_t_distribution<RealType>(0)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis_excess(students_t_distribution<RealType>(1)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis_excess(students_t_distribution<RealType>(1.5L)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis_excess(students_t_distribution<RealType>(2)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis(students_t_distribution<RealType>(static_cast<RealType>(2.1))), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis_excess(students_t_distribution<RealType>(3)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis_excess(students_t_distribution<RealType>(4)), std::domain_error); // df == k |
| BOOST_CHECK_EQUAL(kurtosis_excess(students_t_distribution<RealType>(5)), 6); // OK. |
| BOOST_CHECK_EQUAL(kurtosis_excess(students_t_distribution<RealType>(inf)), 0); // OK. |
| |
| // Check on df for kurtosis (moment 4) |
| BOOST_CHECK_THROW(kurtosis(students_t_distribution<RealType>(nan)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis(students_t_distribution<RealType>(-1)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis(students_t_distribution<RealType>(0)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis(students_t_distribution<RealType>(1)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis(students_t_distribution<RealType>(2)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis(students_t_distribution<RealType>(static_cast<RealType>(2.0001L))), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis(students_t_distribution<RealType>(3)), std::domain_error); |
| BOOST_CHECK_THROW(kurtosis(students_t_distribution<RealType>(4)), std::domain_error); // df == k |
| BOOST_CHECK_EQUAL(kurtosis(students_t_distribution<RealType>(5)), 9); // OK. |
| BOOST_CHECK_EQUAL(kurtosis(students_t_distribution<RealType>(inf)), 3); // OK. |
| |
| } |
| |
| |
| // Use a new distribution ignore_error_students_t with a custom policy to ignore all errors, |
| // and check returned values are as expected. |
| |
| /* |
| Sandia-darwin-intel-12.0 - math - test_students_t / intel-darwin-12.0 |
| ../libs/math/test/test_students_t.cpp(544): error: "domain_error" has already been declared in the current scope |
| using boost::math::policies::domain_error; |
| |
| ../libs/math/test/test_students_t.cpp(552): error: "pole_error" has already been declared in the current scope |
| using boost::math::policies::pole_error; |
| |
| Unclear where previous declaration is. |
| Does not seem to be in student_t.hpp or any included files??? |
| |
| So to avoid this perceived problem by this compiler, |
| the ignore policy below uses fully specified names. |
| */ |
| |
| using boost::math::policies::policy; |
| // Types of error whose action can be altered by policies:. |
| //using boost::math::policies::evaluation_error; |
| //using boost::math::policies::domain_error; |
| //using boost::math::policies::overflow_error; |
| //using boost::math::policies::underflow_error; |
| //using boost::math::policies::domain_error; |
| //using boost::math::policies::pole_error; |
| |
| //// Actions on error (in enum error_policy_type): |
| //using boost::math::policies::errno_on_error; |
| //using boost::math::policies::ignore_error; |
| //using boost::math::policies::throw_on_error; |
| //using boost::math::policies::denorm_error; |
| //using boost::math::policies::pole_error; |
| //using boost::math::policies::user_error; |
| |
| typedef policy< |
| boost::math::policies::domain_error<boost::math::policies::ignore_error>, |
| boost::math::policies::overflow_error<boost::math::policies::ignore_error>, |
| boost::math::policies::underflow_error<boost::math::policies::ignore_error>, |
| boost::math::policies::denorm_error<boost::math::policies::ignore_error>, |
| boost::math::policies::pole_error<boost::math::policies::ignore_error>, |
| boost::math::policies::evaluation_error<boost::math::policies::ignore_error> |
| > my_ignore_policy; |
| |
| typedef students_t_distribution<RealType, my_ignore_policy> ignore_error_students_t; |
| |
| |
| |
| // Only test NaN and infinity if type has these features (realconcept returns zero). |
| // Integers are always converted to RealType, |
| // others requires static cast to RealType from long double. |
| |
| if(std::numeric_limits<RealType>::has_quiet_NaN) |
| { |
| // Mean |
| BOOST_CHECK((boost::math::isnan)(mean(ignore_error_students_t(-1)))); |
| BOOST_CHECK((boost::math::isnan)(mean(ignore_error_students_t(0)))); |
| BOOST_CHECK((boost::math::isnan)(mean(ignore_error_students_t(1)))); |
| |
| // Variance |
| BOOST_CHECK((boost::math::isnan)(variance(ignore_error_students_t(std::numeric_limits<RealType>::quiet_NaN())))); |
| BOOST_CHECK((boost::math::isnan)(variance(ignore_error_students_t(-1)))); |
| BOOST_CHECK((boost::math::isnan)(variance(ignore_error_students_t(0)))); |
| BOOST_CHECK((boost::math::isnan)(variance(ignore_error_students_t(1)))); |
| BOOST_CHECK((boost::math::isnan)(variance(ignore_error_students_t(static_cast<RealType>(1.7L))))); |
| BOOST_CHECK((boost::math::isnan)(variance(ignore_error_students_t(2)))); |
| |
| // Skewness |
| BOOST_CHECK((boost::math::isnan)(skewness(ignore_error_students_t(std::numeric_limits<RealType>::quiet_NaN())))); |
| BOOST_CHECK((boost::math::isnan)(skewness(ignore_error_students_t(-1)))); |
| BOOST_CHECK((boost::math::isnan)(skewness(ignore_error_students_t(0)))); |
| BOOST_CHECK((boost::math::isnan)(skewness(ignore_error_students_t(1)))); |
| BOOST_CHECK((boost::math::isnan)(skewness(ignore_error_students_t(2)))); |
| BOOST_CHECK((boost::math::isnan)(skewness(ignore_error_students_t(3)))); |
| |
| // Kurtosis |
| BOOST_CHECK((boost::math::isnan)(kurtosis(ignore_error_students_t(std::numeric_limits<RealType>::quiet_NaN())))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis(ignore_error_students_t(-1)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis(ignore_error_students_t(0)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis(ignore_error_students_t(1)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis(ignore_error_students_t(2)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis(ignore_error_students_t(static_cast<RealType>(2.0001L))))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis(ignore_error_students_t(3)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis(ignore_error_students_t(4)))); |
| |
| // Kurtosis excess |
| BOOST_CHECK((boost::math::isnan)(kurtosis_excess(ignore_error_students_t(std::numeric_limits<RealType>::quiet_NaN())))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis_excess(ignore_error_students_t(-1)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis_excess(ignore_error_students_t(0)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis_excess(ignore_error_students_t(1)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis_excess(ignore_error_students_t(2)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis_excess(ignore_error_students_t(static_cast<RealType>(2.0001L))))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis_excess(ignore_error_students_t(3)))); |
| BOOST_CHECK((boost::math::isnan)(kurtosis_excess(ignore_error_students_t(4)))); |
| } // has_quiet_NaN |
| |
| BOOST_CHECK(boost::math::isfinite(mean(ignore_error_students_t(1 + std::numeric_limits<RealType>::epsilon())))); |
| BOOST_CHECK(boost::math::isfinite(variance(ignore_error_students_t(2 + 2 * std::numeric_limits<RealType>::epsilon())))); |
| BOOST_CHECK(boost::math::isfinite(variance(ignore_error_students_t(static_cast<RealType>(2.0001L))))); |
| BOOST_CHECK(boost::math::isfinite(variance(ignore_error_students_t(2 + 2 * std::numeric_limits<RealType>::epsilon())))); |
| BOOST_CHECK(boost::math::isfinite(skewness(ignore_error_students_t(3 + 3 * std::numeric_limits<RealType>::epsilon())))); |
| BOOST_CHECK(boost::math::isfinite(kurtosis(ignore_error_students_t(4 + 4 * std::numeric_limits<RealType>::epsilon())))); |
| BOOST_CHECK(boost::math::isfinite(kurtosis(ignore_error_students_t(static_cast<RealType>(4.0001L))))); |
| |
| // check_out_of_range<students_t_distribution<RealType> >(1); |
| // Cannot be used because fails "exception std::domain_error is expected" |
| // because df = +infinity is allowed. |
| |
| check_support<students_t_distribution<RealType> >(students_t_distribution<RealType>(1)); |
| |
| } // template <class RealType>void test_spots(RealType) |
| |
| BOOST_AUTO_TEST_CASE( test_main ) |
| { |
| // Check that can construct students_t distribution using the two convenience methods: |
| using namespace boost::math; |
| students_t myst1(2); // Using typedef |
| students_t_distribution<> myst2(2); // Using default RealType double. |
| //students_t_distribution<double> myst3(2); // Using explicit RealType double. |
| |
| // Basic sanity-check spot values. |
| // (Parameter value, arbitrarily zero, only communicates the floating point type). |
| test_spots(0.0F); // Test float. OK at decdigits = 0 tolerance = 0.0001 % |
| test_spots(0.0); // Test double. OK at decdigits 7, tolerance = 1e07 % |
| #ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS |
| test_spots(0.0L); // Test long double. |
| #if !BOOST_WORKAROUND(__BORLANDC__, BOOST_TESTED_AT(0x582)) |
| test_spots(boost::math::concepts::real_concept(0.)); // Test real concept. |
| #endif |
| #else |
| std::cout << "<note>The long double tests have been disabled on this platform " |
| "either because the long double overloads of the usual math functions are " |
| "not available at all, or because they are too inaccurate for these tests " |
| "to pass.</note>" << std::cout; |
| #endif |
| |
| |
| |
| } // BOOST_AUTO_TEST_CASE( test_main ) |
| |
| /* |
| |
| Autorun "i:\boost-06-05-03-1300\libs\math\test\Math_test\debug\test_students_t.exe" |
| Running 1 test case... |
| Tolerance for type float is 0.0001 % |
| Tolerance for type double is 0.0001 % |
| Tolerance for type long double is 0.0001 % |
| Tolerance for type class boost::math::concepts::real_concept is 0.0001 % |
| *** No errors detected |
| |
| */ |
| |
| |
