summaryrefslogtreecommitdiffstats
path: root/src/boost/libs/math/test/test_exponential_dist.cpp
blob: 7dc5f6c2470ea3efd20a20e2a6630724e7b4b611 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
// Copyright John Maddock 2006.
// Copyright Paul A. Bristow 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)

// test_exponential_dist.cpp

#include <boost/math/tools/test.hpp>
#include <boost/math/concepts/real_concept.hpp> // for real_concept
#include <boost/math/distributions/exponential.hpp>
    using boost::math::exponential_distribution;

#define BOOST_TEST_MAIN
#include <boost/test/unit_test.hpp> // Boost.Test
#include <boost/test/tools/floating_point_comparison.hpp>
#include "test_out_of_range.hpp"

#include <iostream>
   using std::cout;
   using std::endl;
   using std::setprecision;

template <class RealType>
void test_spot(RealType l, RealType x, RealType p, RealType q, RealType tolerance)
{
   BOOST_CHECK_CLOSE(
      ::boost::math::cdf(
         exponential_distribution<RealType>(l),      
         x),
         p,
         tolerance); // %
   BOOST_CHECK_CLOSE(
      ::boost::math::cdf(
         complement(exponential_distribution<RealType>(l),      
         x)),
         q,
         tolerance); // %
   if(p < 0.999)
   {
      BOOST_CHECK_CLOSE(
         ::boost::math::quantile(
            exponential_distribution<RealType>(l),      
            p),
            x,
            tolerance); // %
   }
   if(q < 0.999)
   {
      BOOST_CHECK_CLOSE(
         ::boost::math::quantile(
            complement(exponential_distribution<RealType>(l),      
            q)),
            x,
            tolerance); // %
   }
}

template <class RealType>
void test_spots(RealType T)
{
   // Basic sanity checks.
   // 50 eps as a percentage, up to a maximum of double precision
   // (that's the limit of our test data: obtained by punching
   // numbers into a calculator).
   RealType tolerance = (std::max)(
      static_cast<RealType>(boost::math::tools::epsilon<double>()),
      boost::math::tools::epsilon<RealType>());
   tolerance *= 50 * 100; 
   // #  pragma warning(disable: 4100) // unreferenced formal parameter.
   // prevent his spurious warning.
   if (T != 0)
   {
     cout << "Expect parameter T == 0!" << endl;
   }
    cout << "Tolerance for type " << typeid(T).name()  << " is " << tolerance << " %" << endl;

   test_spot(
      static_cast<RealType>(0.5), // lambda
      static_cast<RealType>(0.125), // x
      static_cast<RealType>(0.060586937186524213880289175377695L), // p
      static_cast<RealType>(0.93941306281347578611971082462231L), //q
      tolerance);
   test_spot(
      static_cast<RealType>(0.5), // lambda
      static_cast<RealType>(5), // x
      static_cast<RealType>(0.91791500137610120483047132553284L), // p
      static_cast<RealType>(0.08208499862389879516952867446716L), //q
      tolerance);
   test_spot(
      static_cast<RealType>(2), // lambda
      static_cast<RealType>(0.125), // x
      static_cast<RealType>(0.22119921692859513175482973302168L), // p
      static_cast<RealType>(0.77880078307140486824517026697832L), //q
      tolerance);
   test_spot(
      static_cast<RealType>(2), // lambda
      static_cast<RealType>(5), // x
      static_cast<RealType>(0.99995460007023751514846440848444L), // p
      static_cast<RealType>(4.5399929762484851535591515560551e-5L), //q
      tolerance);

   //
   // Some spot tests generated by MathCAD pexp(x,r):
   //
   test_spot(
      static_cast<RealType>(1), // lambda
      static_cast<RealType>(1), // x
      static_cast<RealType>(6.321205588285580E-001L), // p
      static_cast<RealType>(1-6.321205588285580E-001L), //q
      tolerance);
   test_spot(
      static_cast<RealType>(2), // lambda
      static_cast<RealType>(1), // x
      static_cast<RealType>(8.646647167633870E-001L), // p
      static_cast<RealType>(1-8.646647167633870E-001L), //q
      tolerance);
   test_spot(
      static_cast<RealType>(1), // lambda
      static_cast<RealType>(0.5), // x
      static_cast<RealType>(3.934693402873670E-001L), // p
      static_cast<RealType>(1-3.934693402873670E-001L), //q
      tolerance);
   test_spot(
      static_cast<RealType>(0.1), // lambda
      static_cast<RealType>(1), // x
      static_cast<RealType>(9.516258196404040E-002L), // p
      static_cast<RealType>(1-9.516258196404040E-002L), //q
      tolerance);
   test_spot(
      static_cast<RealType>(10), // lambda
      static_cast<RealType>(1), // x
      static_cast<RealType>(9.999546000702380E-001L), // p
      static_cast<RealType>(1-9.999546000702380E-001L), //q
      tolerance*10000); // we loose four digits to cancellation
   test_spot(
      static_cast<RealType>(0.1), // lambda
      static_cast<RealType>(10), // x
      static_cast<RealType>(6.321205588285580E-001L), // p
      static_cast<RealType>(1-6.321205588285580E-001L), //q
      tolerance);
   test_spot(
      static_cast<RealType>(1), // lambda
      static_cast<RealType>(0.01), // x
      static_cast<RealType>(9.950166250831950E-003L), // p
      static_cast<RealType>(1-9.950166250831950E-003L), //q
      tolerance);
   test_spot(
      static_cast<RealType>(1), // lambda
      static_cast<RealType>(0.0001), // x
      static_cast<RealType>(9.999500016666250E-005L), // p
      static_cast<RealType>(1-9.999500016666250E-005L), //q
      tolerance);
   /*
   // This test data appears to be erroneous, MathCad appears
   // to suffer from cancellation error as x -> 0
   test_spot(
      static_cast<RealType>(1), // lambda
      static_cast<RealType>(0.0000001), // x
      static_cast<RealType>(9.999999499998730E-008L), // p
      static_cast<RealType>(1-9.999999499998730E-008L), //q
      tolerance);
   */   

   BOOST_CHECK_CLOSE(
      ::boost::math::pdf(
         exponential_distribution<RealType>(0.5),      
         static_cast<RealType>(0.125)),              // x
         static_cast<RealType>(0.46970653140673789305985541231115L),                // probability.
         tolerance); // %
   BOOST_CHECK_CLOSE(
      ::boost::math::pdf(
         exponential_distribution<RealType>(0.5),      
         static_cast<RealType>(5)),              // x
         static_cast<RealType>(0.04104249931194939758476433723358L),                // probability.
         tolerance); // %
   BOOST_CHECK_CLOSE(
      ::boost::math::pdf(
         exponential_distribution<RealType>(2),      
         static_cast<RealType>(0.125)),              // x
         static_cast<RealType>(1.5576015661428097364903405339566L),                // probability.
         tolerance); // %
   BOOST_CHECK_CLOSE(
      ::boost::math::pdf(
         exponential_distribution<RealType>(2),      
         static_cast<RealType>(5)),              // x
         static_cast<RealType>(9.0799859524969703071183031121101e-5L),                // probability.
         tolerance); // %

   BOOST_CHECK_CLOSE(
      ::boost::math::mean(
         exponential_distribution<RealType>(2)),
         static_cast<RealType>(0.5),           
         tolerance); // %
   BOOST_CHECK_CLOSE(
      ::boost::math::standard_deviation(
         exponential_distribution<RealType>(2)), 
         static_cast<RealType>(0.5),
         tolerance); // %
   BOOST_CHECK_CLOSE(
      ::boost::math::mode(
         exponential_distribution<RealType>(2)),
         static_cast<RealType>(0),           
         tolerance); // %

   BOOST_CHECK_CLOSE(
      ::boost::math::median(
         exponential_distribution<RealType>(4)),
         static_cast<RealType>(0.693147180559945309417232121458176568075500134360255254) / 4,           
         tolerance); // %

   BOOST_CHECK_CLOSE(
      ::boost::math::skewness(
         exponential_distribution<RealType>(2)),
         static_cast<RealType>(2),           
         tolerance); // %
   BOOST_CHECK_CLOSE(
      ::boost::math::kurtosis(
         exponential_distribution<RealType>(2)),
         static_cast<RealType>(9),           
         tolerance); // %
   BOOST_CHECK_CLOSE(
      ::boost::math::kurtosis_excess(
         exponential_distribution<RealType>(2)),
         static_cast<RealType>(6),           
         tolerance); // %

   //
   // Things that are errors:
   //
   exponential_distribution<RealType> dist(0.5);
   BOOST_MATH_CHECK_THROW(
       quantile(dist, RealType(1.0)),
       std::overflow_error);
   BOOST_MATH_CHECK_THROW(
       quantile(complement(dist, RealType(0.0))),
       std::overflow_error);
   BOOST_MATH_CHECK_THROW(
       pdf(dist, RealType(-1)),
       std::domain_error);
   BOOST_MATH_CHECK_THROW(
       cdf(dist, RealType(-1)),
       std::domain_error);
   BOOST_MATH_CHECK_THROW(
       cdf(exponential_distribution<RealType>(-1), RealType(1)),
       std::domain_error);
   BOOST_MATH_CHECK_THROW(
       quantile(dist, RealType(-1)),
       std::domain_error);
   BOOST_MATH_CHECK_THROW(
       quantile(dist, RealType(2)),
       std::domain_error);

   check_out_of_range<exponential_distribution<RealType> >(2);
   BOOST_MATH_CHECK_THROW(exponential_distribution<RealType>(0), std::domain_error);
   BOOST_MATH_CHECK_THROW(exponential_distribution<RealType>(-1), std::domain_error);
   if(std::numeric_limits<RealType>::has_infinity)
   {
      RealType inf = std::numeric_limits<RealType>::infinity();
      BOOST_CHECK_EQUAL(pdf(exponential_distribution<RealType>(2), inf), 0);
      BOOST_CHECK_EQUAL(cdf(exponential_distribution<RealType>(2), inf), 1);
      BOOST_CHECK_EQUAL(cdf(complement(exponential_distribution<RealType>(2), inf)), 0);
   }
} // template <class RealType>void test_spots(RealType)

BOOST_AUTO_TEST_CASE( test_main )
{
  // Check that can generate exponential distribution using the two convenience methods:
   boost::math::exponential mycexp1(1.); // Using typedef
   exponential_distribution<> myexp2(1.); // Using default 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::endl;
#endif

} // BOOST_AUTO_TEST_CASE( test_main )

/*

Output is:

Running 1 test case...
Tolerance for type float is 0.000596046 %
Tolerance for type double is 1.11022e-012 %
Tolerance for type long double is 1.11022e-012 %
Tolerance for type class boost::math::concepts::real_concept is 1.11022e-012 %
*** No errors detected

*/