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issue1198
math/test/test_chi_squared.cpp
Matt Borland e4a01104d0 GPU Batch 7 
Fix igamma_large support on device

Add GPU support to toms748

Add GPU support to igamma_inv

Add GPU markers to gamma_inva

Add GPU Markers to lgamma_small

Remove STL usage from gamma

Remove NVRTC workaround

Fix fraction use of STL headers

Mark gamma functions in fwd

Disable declval on all GPU platforms

Disable more unneeded code on device

Add forward decl for NVRTC tgamma

Disable unneeded items for all GPU

Change workaround for missing overloads

Rearrange definition location

Add include path to cuda now that workaround is removed

Fix NVRTC incompatibility with recursion and forward decls

Add tgamma_ratio CUDA and NVRTC testing

Fix NVRTC handling of gamma_p_derivative

Add gamma_p_derivative CUDA and NVRTC testing

Remove recursion from gamma_incomplete_imp

Add SYCL testing of igamma, igamma_inv, and igamma_inva

Ignore literal-range warnings

Remove use of static const char* for function name

Fix missing CUDA header

Remove calls under NVRTC to fwd decl

Add more nvrtc workarounds

Use builtin erfc instead of header cycle

Add CUDA and NVRTC testing of gamma_p_inv

Adjust tolerances

Add GPU support to chi squared dist

Fix static local variable

Add chi squared dist SYCL testing

Add chi squared dist CUDA testing

Add chi squared dist NVRTC testing

Add GPU support to weibull dist

Add weibull dist SYCL testing

Add weibull dist CUDA testing

Add weibull dist NVRTC testing
2024-08-27 15:32:21 -04:00

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// test_chi_squared.cpp
// Copyright Paul A. Bristow 2006.
// Copyright John Maddock 2007.
// 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)
#ifdef _MSC_VER
# pragma warning(disable: 4100) // unreferenced formal parameter.
// Seems an entirely spurious warning - formal parameter T IS used - get error if /* T */
//# pragma warning(disable: 4535) // calling _set_se_translator() requires /EHa (in Boost.test)
// Enable C++ Exceptions Yes With SEH Exceptions (/EHa) prevents warning 4535.
# pragma warning(disable: 4127) // conditional expression is constant
#endif
#include <boost/math/tools/config.hpp>
#include "../include_private/boost/math/tools/test.hpp"
#ifndef BOOST_MATH_NO_REAL_CONCEPT_TESTS
#include <boost/math/concepts/real_concept.hpp> // for real_concept
using ::boost::math::concepts::real_concept;
#endif
#include <boost/math/distributions/chi_squared.hpp> // for chi_squared_distribution
#include <boost/math/distributions/non_central_chi_squared.hpp> // for chi_squared_distribution
using boost::math::chi_squared_distribution;
using boost::math::chi_squared;
#define BOOST_TEST_MAIN
#include <boost/test/unit_test.hpp> // for test_main
#include <boost/test/tools/floating_point_comparison.hpp> // for BOOST_CHECK_CLOSE
#include "test_out_of_range.hpp"
#include <iostream>
using std::cout;
using std::endl;
#include <limits>
using std::numeric_limits;
#include <cmath>
using std::log;
template <class RealType>
RealType naive_pdf(RealType df, RealType x)
{
using namespace std; // For ADL of std functions.
RealType e = log(x) * ((df / 2) - 1) - (x / 2) - boost::math::lgamma(df/2);
e -= log(static_cast<RealType>(2)) * df / 2;
return exp(e);
}
template <class RealType>
void test_spot(
RealType df, // Degrees of freedom
RealType cs, // Chi Square statistic
RealType P, // CDF
RealType Q, // Complement of CDF
RealType tol) // Test tolerance
{
boost::math::chi_squared_distribution<RealType> dist(df);
BOOST_CHECK_CLOSE(
cdf(dist, cs), P, tol);
BOOST_CHECK_CLOSE(
pdf(dist, cs), naive_pdf(dist.degrees_of_freedom(), cs), tol);
BOOST_CHECK_CLOSE(
logpdf(dist, cs), log(pdf(dist, cs)), tol);
if((P < 0.99) && (Q < 0.99))
{
//
// We can only check this if P is not too close to 1,
// so that we can guarantee Q is free of error:
//
BOOST_CHECK_CLOSE(
cdf(complement(dist, cs)), Q, tol);
BOOST_CHECK_CLOSE(
quantile(dist, P), cs, tol);
BOOST_CHECK_CLOSE(
quantile(complement(dist, Q)), cs, tol);
}
boost::math::non_central_chi_squared_distribution<RealType> dist2(df, 0);
BOOST_CHECK_CLOSE(
cdf(dist2, cs), P, tol);
BOOST_CHECK_CLOSE(
pdf(dist2, cs), naive_pdf(dist2.degrees_of_freedom(), cs), tol);
if((P < 0.99) && (Q < 0.99))
{
//
// We can only check this if P is not too close to 1,
// so that we can guarantee Q is free of error:
//
BOOST_CHECK_CLOSE(
cdf(complement(dist2, cs)), Q, tol);
BOOST_CHECK_CLOSE(
quantile(dist2, P), cs, tol);
BOOST_CHECK_CLOSE(
quantile(complement(dist2, Q)), cs, tol);
}
}
//
// This test data is taken from the tables of upper and lower
// critical values of the Chi Squared distribution available
// at http://www.itl.nist.gov/div898/handbook/eda/section3/eda3674.htm
//
double q[] = { 0.10, 0.05, 0.025, 0.01, 0.001 };
double upper_critical_values[][6] = {
{ 1, 2.706, 3.841, 5.024, 6.635, 10.828 },
{ 2, 4.605, 5.991, 7.378, 9.210, 13.816 },
{ 3, 6.251, 7.815, 9.348, 11.345, 16.266 },
{ 4, 7.779, 9.488, 11.143, 13.277, 18.467 },
{ 5, 9.236, 11.070, 12.833, 15.086, 20.515 },
{ 6, 10.645, 12.592, 14.449, 16.812, 22.458 },
{ 7, 12.017, 14.067, 16.013, 18.475, 24.322 },
{ 8, 13.362, 15.507, 17.535, 20.090, 26.125 },
{ 9, 14.684, 16.919, 19.023, 21.666, 27.877 },
{ 10, 15.987, 18.307, 20.483, 23.209, 29.588 },
{ 11, 17.275, 19.675, 21.920, 24.725, 31.264 },
{ 12, 18.549, 21.026, 23.337, 26.217, 32.910 },
{ 13, 19.812, 22.362, 24.736, 27.688, 34.528 },
{ 14, 21.064, 23.685, 26.119, 29.141, 36.123 },
{ 15, 22.307, 24.996, 27.488, 30.578, 37.697 },
{ 16, 23.542, 26.296, 28.845, 32.000, 39.252 },
{ 17, 24.769, 27.587, 30.191, 33.409, 40.790 },
{ 18, 25.989, 28.869, 31.526, 34.805, 42.312 },
{ 19, 27.204, 30.144, 32.852, 36.191, 43.820 },
{ 20, 28.412, 31.410, 34.170, 37.566, 45.315 },
{ 21, 29.615, 32.671, 35.479, 38.932, 46.797 },
{ 22, 30.813, 33.924, 36.781, 40.289, 48.268 },
{ 23, 32.007, 35.172, 38.076, 41.638, 49.728 },
{ 24, 33.196, 36.415, 39.364, 42.980, 51.179 },
{ 25, 34.382, 37.652, 40.646, 44.314, 52.620 },
{ 26, 35.563, 38.885, 41.923, 45.642, 54.052 },
{ 27, 36.741, 40.113, 43.195, 46.963, 55.476 },
{ 28, 37.916, 41.337, 44.461, 48.278, 56.892 },
{ 29, 39.087, 42.557, 45.722, 49.588, 58.301 },
{ 30, 40.256, 43.773, 46.979, 50.892, 59.703 },
{ 31, 41.422, 44.985, 48.232, 52.191, 61.098 },
{ 32, 42.585, 46.194, 49.480, 53.486, 62.487 },
{ 33, 43.745, 47.400, 50.725, 54.776, 63.870 },
{ 34, 44.903, 48.602, 51.966, 56.061, 65.247 },
{ 35, 46.059, 49.802, 53.203, 57.342, 66.619 },
{ 36, 47.212, 50.998, 54.437, 58.619, 67.985 },
{ 37, 48.363, 52.192, 55.668, 59.893, 69.347 },
{ 38, 49.513, 53.384, 56.896, 61.162, 70.703 },
{ 39, 50.660, 54.572, 58.120, 62.428, 72.055 },
{ 40, 51.805, 55.758, 59.342, 63.691, 73.402 },
{ 41, 52.949, 56.942, 60.561, 64.950, 74.745 },
{ 42, 54.090, 58.124, 61.777, 66.206, 76.084 },
{ 43, 55.230, 59.304, 62.990, 67.459, 77.419 },
{ 44, 56.369, 60.481, 64.201, 68.710, 78.750 },
{ 45, 57.505, 61.656, 65.410, 69.957, 80.077 },
{ 46, 58.641, 62.830, 66.617, 71.201, 81.400 },
{ 47, 59.774, 64.001, 67.821, 72.443, 82.720 },
{ 48, 60.907, 65.171, 69.023, 73.683, 84.037 },
{ 49, 62.038, 66.339, 70.222, 74.919, 85.351 },
{ 50, 63.167, 67.505, 71.420, 76.154, 86.661 },
{ 51, 64.295, 68.669, 72.616, 77.386, 87.968 },
{ 52, 65.422, 69.832, 73.810, 78.616, 89.272 },
{ 53, 66.548, 70.993, 75.002, 79.843, 90.573 },
{ 54, 67.673, 72.153, 76.192, 81.069, 91.872 },
{ 55, 68.796, 73.311, 77.380, 82.292, 93.168 },
{ 56, 69.919, 74.468, 78.567, 83.513, 94.461 },
{ 57, 71.040, 75.624, 79.752, 84.733, 95.751 },
{ 58, 72.160, 76.778, 80.936, 85.950, 97.039 },
{ 59, 73.279, 77.931, 82.117, 87.166, 98.324 },
{ 60, 74.397, 79.082, 83.298, 88.379, 99.607 },
{ 61, 75.514, 80.232, 84.476, 89.591, 100.888 },
{ 62, 76.630, 81.381, 85.654, 90.802, 102.166 },
{ 63, 77.745, 82.529, 86.830, 92.010, 103.442 },
{ 64, 78.860, 83.675, 88.004, 93.217, 104.716 },
{ 65, 79.973, 84.821, 89.177, 94.422, 105.988 },
{ 66, 81.085, 85.965, 90.349, 95.626, 107.258 },
{ 67, 82.197, 87.108, 91.519, 96.828, 108.526 },
{ 68, 83.308, 88.250, 92.689, 98.028, 109.791 },
{ 69, 84.418, 89.391, 93.856, 99.228, 111.055 },
{ 70, 85.527, 90.531, 95.023, 100.425, 112.317 },
{ 71, 86.635, 91.670, 96.189, 101.621, 113.577 },
{ 72, 87.743, 92.808, 97.353, 102.816, 114.835 },
{ 73, 88.850, 93.945, 98.516, 104.010, 116.092 },
{ 74, 89.956, 95.081, 99.678, 105.202, 117.346 },
{ 75, 91.061, 96.217, 100.839, 106.393, 118.599 },
{ 76, 92.166, 97.351, 101.999, 107.583, 119.850 },
{ 77, 93.270, 98.484, 103.158, 108.771, 121.100 },
{ 78, 94.374, 99.617, 104.316, 109.958, 122.348 },
{ 79, 95.476, 100.749, 105.473, 111.144, 123.594 },
{ 80, 96.578, 101.879, 106.629, 112.329, 124.839 },
{ 81, 97.680, 103.010, 107.783, 113.512, 126.083 },
{ 82, 98.780, 104.139, 108.937, 114.695, 127.324 },
{ 83, 99.880, 105.267, 110.090, 115.876, 128.565 },
{ 84, 100.980, 106.395, 111.242, 117.057, 129.804 },
{ 85, 102.079, 107.522, 112.393, 118.236, 131.041 },
{ 86, 103.177, 108.648, 113.544, 119.414, 132.277 },
{ 87, 104.275, 109.773, 114.693, 120.591, 133.512 },
{ 88, 105.372, 110.898, 115.841, 121.767, 134.746 },
{ 89, 106.469, 112.022, 116.989, 122.942, 135.978 },
{ 90, 107.565, 113.145, 118.136, 124.116, 137.208 },
{ 91, 108.661, 114.268, 119.282, 125.289, 138.438 },
{ 92, 109.756, 115.390, 120.427, 126.462, 139.666 },
{ 93, 110.850, 116.511, 121.571, 127.633, 140.893 },
{ 94, 111.944, 117.632, 122.715, 128.803, 142.119 },
{ 95, 113.038, 118.752, 123.858, 129.973, 143.344 },
{ 96, 114.131, 119.871, 125.000, 131.141, 144.567 },
{ 97, 115.223, 120.990, 126.141, 132.309, 145.789 },
{ 98, 116.315, 122.108, 127.282, 133.476, 147.010 },
{ 99, 117.407, 123.225, 128.422, 134.642, 148.230 },
{ 100, 118.498, 124.342, 129.561, 135.807, 149.449 },
{100, 118.498, 124.342, 129.561, 135.807, 149.449 }
};
double lower_critical_values[][6] = {
/*
These have fewer than 4 significant digits, leave them out
of the tests for now:
1., .016, .004, .001, .000, .000,
2., .211, .103, .051, .020, .002,
3., .584, .352, .216, .115, .024,
4., 1.064, .711, .484, .297, .091,
5., 1.610, 1.145, .831, .554, .210,
6., 2.204, 1.635, 1.237, .872, .381,
7., 2.833, 2.167, 1.690, 1.239, .598,
8., 3.490, 2.733, 2.180, 1.646, .857,
*/
{ 9., 4.168, 3.325, 2.700, 2.088, 1.152 },
{ 10., 4.865, 3.940, 3.247, 2.558, 1.479 },
{ 11., 5.578, 4.575, 3.816, 3.053, 1.834 },
{ 12., 6.304, 5.226, 4.404, 3.571, 2.214 },
{ 13., 7.042, 5.892, 5.009, 4.107, 2.617 },
{ 14., 7.790, 6.571, 5.629, 4.660, 3.041 },
{ 15., 8.547, 7.261, 6.262, 5.229, 3.483 },
{ 16., 9.312, 7.962, 6.908, 5.812, 3.942 },
{ 17., 10.085, 8.672, 7.564, 6.408, 4.416 },
{ 18., 10.865, 9.390, 8.231, 7.015, 4.905 },
{ 19., 11.651, 10.117, 8.907, 7.633, 5.407 },
{ 20., 12.443, 10.851, 9.591, 8.260, 5.921 },
{ 21., 13.240, 11.591, 10.283, 8.897, 6.447 },
{ 22., 14.041, 12.338, 10.982, 9.542, 6.983 },
{ 23., 14.848, 13.091, 11.689, 10.196, 7.529 },
{ 24., 15.659, 13.848, 12.401, 10.856, 8.085 },
{ 25., 16.473, 14.611, 13.120, 11.524, 8.649 },
{ 26., 17.292, 15.379, 13.844, 12.198, 9.222 },
{ 27., 18.114, 16.151, 14.573, 12.879, 9.803 },
{ 28., 18.939, 16.928, 15.308, 13.565, 10.391 },
{ 29., 19.768, 17.708, 16.047, 14.256, 10.986 },
{ 30., 20.599, 18.493, 16.791, 14.953, 11.588 },
{ 31., 21.434, 19.281, 17.539, 15.655, 12.196 },
{ 32., 22.271, 20.072, 18.291, 16.362, 12.811 },
{ 33., 23.110, 20.867, 19.047, 17.074, 13.431 },
{ 34., 23.952, 21.664, 19.806, 17.789, 14.057 },
{ 35., 24.797, 22.465, 20.569, 18.509, 14.688 },
{ 36., 25.643, 23.269, 21.336, 19.233, 15.324 },
{ 37., 26.492, 24.075, 22.106, 19.960, 15.965 },
{ 38., 27.343, 24.884, 22.878, 20.691, 16.611 },
{ 39., 28.196, 25.695, 23.654, 21.426, 17.262 },
{ 40., 29.051, 26.509, 24.433, 22.164, 17.916 },
{ 41., 29.907, 27.326, 25.215, 22.906, 18.575 },
{ 42., 30.765, 28.144, 25.999, 23.650, 19.239 },
{ 43., 31.625, 28.965, 26.785, 24.398, 19.906 },
{ 44., 32.487, 29.787, 27.575, 25.148, 20.576 },
{ 45., 33.350, 30.612, 28.366, 25.901, 21.251 },
{ 46., 34.215, 31.439, 29.160, 26.657, 21.929 },
{ 47., 35.081, 32.268, 29.956, 27.416, 22.610 },
{ 48., 35.949, 33.098, 30.755, 28.177, 23.295 },
{ 49., 36.818, 33.930, 31.555, 28.941, 23.983 },
{ 50., 37.689, 34.764, 32.357, 29.707, 24.674 },
{ 51., 38.560, 35.600, 33.162, 30.475, 25.368 },
{ 52., 39.433, 36.437, 33.968, 31.246, 26.065 },
{ 53., 40.308, 37.276, 34.776, 32.018, 26.765 },
{ 54., 41.183, 38.116, 35.586, 32.793, 27.468 },
{ 55., 42.060, 38.958, 36.398, 33.570, 28.173 },
{ 56., 42.937, 39.801, 37.212, 34.350, 28.881 },
{ 57., 43.816, 40.646, 38.027, 35.131, 29.592 },
{ 58., 44.696, 41.492, 38.844, 35.913, 30.305 },
{ 59., 45.577, 42.339, 39.662, 36.698, 31.020 },
{ 60., 46.459, 43.188, 40.482, 37.485, 31.738 },
{ 61., 47.342, 44.038, 41.303, 38.273, 32.459 },
{ 62., 48.226, 44.889, 42.126, 39.063, 33.181 },
{ 63., 49.111, 45.741, 42.950, 39.855, 33.906 },
{ 64., 49.996, 46.595, 43.776, 40.649, 34.633 },
{ 65., 50.883, 47.450, 44.603, 41.444, 35.362 },
{ 66., 51.770, 48.305, 45.431, 42.240, 36.093 },
{ 67., 52.659, 49.162, 46.261, 43.038, 36.826 },
{ 68., 53.548, 50.020, 47.092, 43.838, 37.561 },
{ 69., 54.438, 50.879, 47.924, 44.639, 38.298 },
{ 70., 55.329, 51.739, 48.758, 45.442, 39.036 },
{ 71., 56.221, 52.600, 49.592, 46.246, 39.777 },
{ 72., 57.113, 53.462, 50.428, 47.051, 40.519 },
{ 73., 58.006, 54.325, 51.265, 47.858, 41.264 },
{ 74., 58.900, 55.189, 52.103, 48.666, 42.010 },
{ 75., 59.795, 56.054, 52.942, 49.475, 42.757 },
{ 76., 60.690, 56.920, 53.782, 50.286, 43.507 },
{ 77., 61.586, 57.786, 54.623, 51.097, 44.258 },
{ 78., 62.483, 58.654, 55.466, 51.910, 45.010 },
{ 79., 63.380, 59.522, 56.309, 52.725, 45.764 },
{ 80., 64.278, 60.391, 57.153, 53.540, 46.520 },
{ 81., 65.176, 61.261, 57.998, 54.357, 47.277 },
{ 82., 66.076, 62.132, 58.845, 55.174, 48.036 },
{ 83., 66.976, 63.004, 59.692, 55.993, 48.796 },
{ 84., 67.876, 63.876, 60.540, 56.813, 49.557 },
{ 85., 68.777, 64.749, 61.389, 57.634, 50.320 },
{ 86., 69.679, 65.623, 62.239, 58.456, 51.085 },
{ 87., 70.581, 66.498, 63.089, 59.279, 51.850 },
{ 88., 71.484, 67.373, 63.941, 60.103, 52.617 },
{ 89., 72.387, 68.249, 64.793, 60.928, 53.386 },
{ 90., 73.291, 69.126, 65.647, 61.754, 54.155 },
{ 91., 74.196, 70.003, 66.501, 62.581, 54.926 },
{ 92., 75.100, 70.882, 67.356, 63.409, 55.698 },
{ 93., 76.006, 71.760, 68.211, 64.238, 56.472 },
{ 94., 76.912, 72.640, 69.068, 65.068, 57.246 },
{ 95., 77.818, 73.520, 69.925, 65.898, 58.022 },
{ 96., 78.725, 74.401, 70.783, 66.730, 58.799 },
{ 97., 79.633, 75.282, 71.642, 67.562, 59.577 },
{ 98., 80.541, 76.164, 72.501, 68.396, 60.356 },
{ 99., 81.449, 77.046, 73.361, 69.230, 61.137 },
{100., 82.358, 77.929, 74.222, 70.065, 61.918 }
};
template <class RealType> // Any floating-point type RealType.
void test_spots(RealType T)
{
// Basic sanity checks, test data is to three decimal places only
// so set tolerance to 0.001 expressed as a percentage.
RealType tolerance = 0.001f * 100;
cout << "Tolerance for type " << typeid(T).name() << " is " << tolerance << " %" << endl;
using boost::math::chi_squared_distribution;
using ::boost::math::chi_squared;
using ::boost::math::cdf;
using ::boost::math::pdf;
for(unsigned i = 0; i < sizeof(upper_critical_values) / sizeof(upper_critical_values[0]); ++i)
{
test_spot(
static_cast<RealType>(upper_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(upper_critical_values[i][1]), // Chi Squared statistic
static_cast<RealType>(1 - q[0]), // Probability of result (CDF), P
static_cast<RealType>(q[0]), // Q = 1 - P
tolerance);
test_spot(
static_cast<RealType>(upper_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(upper_critical_values[i][2]), // Chi Squared statistic
static_cast<RealType>(1 - q[1]), // Probability of result (CDF), P
static_cast<RealType>(q[1]), // Q = 1 - P
tolerance);
test_spot(
static_cast<RealType>(upper_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(upper_critical_values[i][3]), // Chi Squared statistic
static_cast<RealType>(1 - q[2]), // Probability of result (CDF), P
static_cast<RealType>(q[2]), // Q = 1 - P
tolerance);
test_spot(
static_cast<RealType>(upper_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(upper_critical_values[i][4]), // Chi Squared statistic
static_cast<RealType>(1 - q[3]), // Probability of result (CDF), P
static_cast<RealType>(q[3]), // Q = 1 - P
tolerance);
test_spot(
static_cast<RealType>(upper_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(upper_critical_values[i][5]), // Chi Squared statistic
static_cast<RealType>(1 - q[4]), // Probability of result (CDF), P
static_cast<RealType>(q[4]), // Q = 1 - P
tolerance);
}
for(unsigned i = 0; i < sizeof(lower_critical_values) / sizeof(lower_critical_values[0]); ++i)
{
test_spot(
static_cast<RealType>(lower_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(lower_critical_values[i][1]), // Chi Squared statistic
static_cast<RealType>(q[0]), // Probability of result (CDF), P
static_cast<RealType>(1 - q[0]), // Q = 1 - P
tolerance);
test_spot(
static_cast<RealType>(lower_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(lower_critical_values[i][2]), // Chi Squared statistic
static_cast<RealType>(q[1]), // Probability of result (CDF), P
static_cast<RealType>(1 - q[1]), // Q = 1 - P
tolerance);
test_spot(
static_cast<RealType>(lower_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(lower_critical_values[i][3]), // Chi Squared statistic
static_cast<RealType>(q[2]), // Probability of result (CDF), P
static_cast<RealType>(1 - q[2]), // Q = 1 - P
tolerance);
test_spot(
static_cast<RealType>(lower_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(lower_critical_values[i][4]), // Chi Squared statistic
static_cast<RealType>(q[3]), // Probability of result (CDF), P
static_cast<RealType>(1 - q[3]), // Q = 1 - P
tolerance);
test_spot(
static_cast<RealType>(lower_critical_values[i][0]), // degrees of freedom
static_cast<RealType>(lower_critical_values[i][5]), // Chi Squared statistic
static_cast<RealType>(q[4]), // Probability of result (CDF), P
static_cast<RealType>(1 - q[4]), // Q = 1 - P
tolerance);
}
RealType tol2 = boost::math::tools::epsilon<RealType>() * 5 * 100; // 5 eps as a percentage
chi_squared_distribution<RealType> dist(static_cast<RealType>(8));
RealType x = 7;
using namespace std; // ADL of std names.
// mean:
BOOST_CHECK_CLOSE(
mean(dist)
, static_cast<RealType>(8), tol2);
// variance:
BOOST_CHECK_CLOSE(
variance(dist)
, static_cast<RealType>(16), tol2);
// std deviation:
BOOST_CHECK_CLOSE(
standard_deviation(dist)
, static_cast<RealType>(4), 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_CLOSE(
coefficient_of_variation(dist)
, standard_deviation(dist) / mean(dist), tol2);
// mode:
BOOST_CHECK_CLOSE(
mode(dist)
, static_cast<RealType>(6), tol2);
BOOST_CHECK_CLOSE(
median(dist),
quantile(
chi_squared_distribution<RealType>(static_cast<RealType>(8)),
static_cast<RealType>(0.5)), static_cast<RealType>(tol2));
// skewness:
BOOST_CHECK_CLOSE(
skewness(dist)
, static_cast<RealType>(1), 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);
// special cases:
BOOST_MATH_CHECK_THROW(
pdf(
chi_squared_distribution<RealType>(static_cast<RealType>(1)),
static_cast<RealType>(0)), std::overflow_error
);
BOOST_CHECK_EQUAL(
pdf(chi_squared_distribution<RealType>(2), static_cast<RealType>(0))
, static_cast<RealType>(0.5f));
BOOST_CHECK_EQUAL(
pdf(chi_squared_distribution<RealType>(3), static_cast<RealType>(0))
, static_cast<RealType>(0.0f));
BOOST_CHECK_EQUAL(
cdf(chi_squared_distribution<RealType>(1), static_cast<RealType>(0))
, static_cast<RealType>(0.0f));
BOOST_CHECK_EQUAL(
cdf(chi_squared_distribution<RealType>(2), static_cast<RealType>(0))
, static_cast<RealType>(0.0f));
BOOST_CHECK_EQUAL(
cdf(chi_squared_distribution<RealType>(3), static_cast<RealType>(0))
, static_cast<RealType>(0.0f));
BOOST_CHECK_EQUAL(
cdf(complement(chi_squared_distribution<RealType>(1), static_cast<RealType>(0)))
, static_cast<RealType>(1));
BOOST_CHECK_EQUAL(
cdf(complement(chi_squared_distribution<RealType>(2), static_cast<RealType>(0)))
, static_cast<RealType>(1));
BOOST_CHECK_EQUAL(
cdf(complement(chi_squared_distribution<RealType>(3), static_cast<RealType>(0)))
, static_cast<RealType>(1));
BOOST_MATH_CHECK_THROW(
pdf(
chi_squared_distribution<RealType>(static_cast<RealType>(-1)),
static_cast<RealType>(1)), std::domain_error
);
BOOST_MATH_CHECK_THROW(
pdf(
chi_squared_distribution<RealType>(static_cast<RealType>(8)),
static_cast<RealType>(-1)), std::domain_error
);
BOOST_MATH_CHECK_THROW(
cdf(
chi_squared_distribution<RealType>(static_cast<RealType>(-1)),
static_cast<RealType>(1)), std::domain_error
);
BOOST_MATH_CHECK_THROW(
cdf(
chi_squared_distribution<RealType>(static_cast<RealType>(8)),
static_cast<RealType>(-1)), std::domain_error
);
BOOST_MATH_CHECK_THROW(
cdf(complement(
chi_squared_distribution<RealType>(static_cast<RealType>(-1)),
static_cast<RealType>(1))), std::domain_error
);
BOOST_MATH_CHECK_THROW(
cdf(complement(
chi_squared_distribution<RealType>(static_cast<RealType>(8)),
static_cast<RealType>(-1))), std::domain_error
);
BOOST_MATH_CHECK_THROW(
quantile(
chi_squared_distribution<RealType>(static_cast<RealType>(-1)),
static_cast<RealType>(0.5)), std::domain_error
);
BOOST_MATH_CHECK_THROW(
quantile(
chi_squared_distribution<RealType>(static_cast<RealType>(8)),
static_cast<RealType>(-1)), std::domain_error
);
BOOST_MATH_CHECK_THROW(
quantile(
chi_squared_distribution<RealType>(static_cast<RealType>(8)),
static_cast<RealType>(1.1)), std::domain_error
);
BOOST_MATH_CHECK_THROW(
quantile(complement(
chi_squared_distribution<RealType>(static_cast<RealType>(-1)),
static_cast<RealType>(0.5))), std::domain_error
);
BOOST_MATH_CHECK_THROW(
quantile(complement(
chi_squared_distribution<RealType>(static_cast<RealType>(8)),
static_cast<RealType>(-1))), std::domain_error
);
BOOST_MATH_CHECK_THROW(
quantile(complement(
chi_squared_distribution<RealType>(static_cast<RealType>(8)),
static_cast<RealType>(1.1))), std::domain_error
);
// This first test value is taken from an example here:
// http://www.itl.nist.gov/div898/handbook/prc/section2/prc232.htm
// Subsequent tests just test our empirically generated values, they
// catch regressions, but otherwise aren't worth much.
BOOST_CHECK_EQUAL(
ceil(chi_squared_distribution<RealType>::find_degrees_of_freedom(
55, 0.05f, 0.01f, 100)), static_cast<RealType>(170));
BOOST_CHECK_EQUAL(
ceil(chi_squared_distribution<RealType>::find_degrees_of_freedom(
10, 0.05f, 0.01f, 100)), static_cast<RealType>(3493));
BOOST_CHECK_EQUAL(
ceil(chi_squared_distribution<RealType>::find_degrees_of_freedom(
-55, 0.05f, 0.01f, 100)), static_cast<RealType>(49));
BOOST_CHECK_EQUAL(
ceil(chi_squared_distribution<RealType>::find_degrees_of_freedom(
-10, 0.05f, 0.01f, 100)), static_cast<RealType>(2826));
check_out_of_range<boost::math::chi_squared_distribution<RealType> >(1); // (All) valid constructor parameter values.
} // template <class RealType>void test_spots(RealType)
BOOST_AUTO_TEST_CASE( test_main )
{
BOOST_MATH_CONTROL_FP;
// Check that can generate chi_squared distribution using the two convenience methods:
chi_squared_distribution<> mychisqr(8);
chi_squared mychisqr2(8);
// Basic sanity-check spot values.
// (Parameter value, arbitrarily zero, only communicates the floating point type).
test_spots(0.0F); // Test float.
test_spots(0.0); // Test double.
#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS
test_spots(0.0L); // Test long double.
#if !defined(BOOST_MATH_NO_REAL_CONCEPT_TESTS)
test_spots(boost::math::concepts::real_concept(0.)); // Test real concept.
#endif
#endif
} // BOOST_AUTO_TEST_CASE( test_main )
/*
Output:
Description: Autorun "J:\Cpp\MathToolkit\test\Math_test\Debug\test_chi_squared.exe"
Running 1 test case...
Tolerance for type float is 0.1 %
Tolerance for type double is 0.1 %
Tolerance for type long double is 0.1 %
Tolerance for type class boost::math::concepts::real_concept is 0.1 %
*/
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