| 1 | // Copyright John Maddock 2006. |
| 2 | // Use, modification and distribution are subject to the |
| 3 | // Boost Software License, Version 1.0. (See accompanying file |
| 4 | // LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt) |
| 5 | |
| 6 | #ifndef BOOST_STATS_DERIVED_HPP |
| 7 | #define BOOST_STATS_DERIVED_HPP |
| 8 | |
| 9 | // This file implements various common properties of distributions |
| 10 | // that can be implemented in terms of other properties: |
| 11 | // variance OR standard deviation (see note below), |
| 12 | // hazard, cumulative hazard (chf), coefficient_of_variation. |
| 13 | // |
| 14 | // Note that while both variance and standard_deviation are provided |
| 15 | // here, each distribution MUST SPECIALIZE AT LEAST ONE OF THESE |
| 16 | // otherwise these two versions will just call each other over and over |
| 17 | // until stack space runs out ... |
| 18 | |
| 19 | // Of course there may be more efficient means of implementing these |
| 20 | // that are specific to a particular distribution, but these generic |
| 21 | // versions give these properties "for free" with most distributions. |
| 22 | // |
| 23 | // In order to make use of this header, it must be included AT THE END |
| 24 | // of the distribution header, AFTER the distribution and its core |
| 25 | // property accessors have been defined: this is so that compilers |
| 26 | // that implement 2-phase lookup and early-type-checking of templates |
| 27 | // can find the definitions referred to herein. |
| 28 | // |
| 29 | |
| 30 | #include <boost/type_traits/is_same.hpp> |
| 31 | #include <boost/static_assert.hpp> |
| 32 | |
| 33 | #ifdef BOOST_MSVC |
| 34 | # pragma warning(push) |
| 35 | # pragma warning(disable: 4723) // potential divide by 0 |
| 36 | // Suppressing spurious warning in coefficient_of_variation |
| 37 | #endif |
| 38 | |
| 39 | namespace boost{ namespace math{ |
| 40 | |
| 41 | template <class Distribution> |
| 42 | typename Distribution::value_type variance(const Distribution& dist); |
| 43 | |
| 44 | template <class Distribution> |
| 45 | inline typename Distribution::value_type standard_deviation(const Distribution& dist) |
| 46 | { |
| 47 | BOOST_MATH_STD_USING // ADL of sqrt. |
| 48 | return sqrt(variance(dist)); |
| 49 | } |
| 50 | |
| 51 | template <class Distribution> |
| 52 | inline typename Distribution::value_type variance(const Distribution& dist) |
| 53 | { |
| 54 | typename Distribution::value_type result = standard_deviation(dist); |
| 55 | return result * result; |
| 56 | } |
| 57 | |
| 58 | template <class Distribution, class RealType> |
| 59 | inline typename Distribution::value_type hazard(const Distribution& dist, const RealType& x) |
| 60 | { // hazard function |
| 61 | // http://www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm#HAZ |
| 62 | typedef typename Distribution::value_type value_type; |
| 63 | typedef typename Distribution::policy_type policy_type; |
| 64 | value_type p = cdf(complement(dist, x)); |
| 65 | value_type d = pdf(dist, x); |
| 66 | if(d > p * tools::max_value<value_type>()) |
| 67 | return policies::raise_overflow_error<value_type>( |
| 68 | "boost::math::hazard(const Distribution&, %1%)" , 0, policy_type()); |
| 69 | if(d == 0) |
| 70 | { |
| 71 | // This protects against 0/0, but is it the right thing to do? |
| 72 | return 0; |
| 73 | } |
| 74 | return d / p; |
| 75 | } |
| 76 | |
| 77 | template <class Distribution, class RealType> |
| 78 | inline typename Distribution::value_type chf(const Distribution& dist, const RealType& x) |
| 79 | { // cumulative hazard function. |
| 80 | // http://www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm#HAZ |
| 81 | BOOST_MATH_STD_USING |
| 82 | return -log(cdf(complement(dist, x))); |
| 83 | } |
| 84 | |
| 85 | template <class Distribution> |
| 86 | inline typename Distribution::value_type coefficient_of_variation(const Distribution& dist) |
| 87 | { |
| 88 | typedef typename Distribution::value_type value_type; |
| 89 | typedef typename Distribution::policy_type policy_type; |
| 90 | |
| 91 | using std::abs; |
| 92 | |
| 93 | value_type m = mean(dist); |
| 94 | value_type d = standard_deviation(dist); |
| 95 | if((abs(m) < 1) && (d > abs(m) * tools::max_value<value_type>())) |
| 96 | { // Checks too that m is not zero, |
| 97 | return policies::raise_overflow_error<value_type>("boost::math::coefficient_of_variation(const Distribution&, %1%)" , 0, policy_type()); |
| 98 | } |
| 99 | return d / m; // so MSVC warning on zerodivide is spurious, and suppressed. |
| 100 | } |
| 101 | // |
| 102 | // Next follow overloads of some of the standard accessors with mixed |
| 103 | // argument types. We just use a typecast to forward on to the "real" |
| 104 | // implementation with all arguments of the same type: |
| 105 | // |
| 106 | template <class Distribution, class RealType> |
| 107 | inline typename Distribution::value_type pdf(const Distribution& dist, const RealType& x) |
| 108 | { |
| 109 | typedef typename Distribution::value_type value_type; |
| 110 | return pdf(dist, static_cast<value_type>(x)); |
| 111 | } |
| 112 | template <class Distribution, class RealType> |
| 113 | inline typename Distribution::value_type cdf(const Distribution& dist, const RealType& x) |
| 114 | { |
| 115 | typedef typename Distribution::value_type value_type; |
| 116 | return cdf(dist, static_cast<value_type>(x)); |
| 117 | } |
| 118 | template <class Distribution, class RealType> |
| 119 | inline typename Distribution::value_type quantile(const Distribution& dist, const RealType& x) |
| 120 | { |
| 121 | typedef typename Distribution::value_type value_type; |
| 122 | return quantile(dist, static_cast<value_type>(x)); |
| 123 | } |
| 124 | /* |
| 125 | template <class Distribution, class RealType> |
| 126 | inline typename Distribution::value_type chf(const Distribution& dist, const RealType& x) |
| 127 | { |
| 128 | typedef typename Distribution::value_type value_type; |
| 129 | return chf(dist, static_cast<value_type>(x)); |
| 130 | } |
| 131 | */ |
| 132 | template <class Distribution, class RealType> |
| 133 | inline typename Distribution::value_type cdf(const complemented2_type<Distribution, RealType>& c) |
| 134 | { |
| 135 | typedef typename Distribution::value_type value_type; |
| 136 | return cdf(complement(c.dist, static_cast<value_type>(c.param))); |
| 137 | } |
| 138 | |
| 139 | template <class Distribution, class RealType> |
| 140 | inline typename Distribution::value_type quantile(const complemented2_type<Distribution, RealType>& c) |
| 141 | { |
| 142 | typedef typename Distribution::value_type value_type; |
| 143 | return quantile(complement(c.dist, static_cast<value_type>(c.param))); |
| 144 | } |
| 145 | |
| 146 | template <class Dist> |
| 147 | inline typename Dist::value_type median(const Dist& d) |
| 148 | { // median - default definition for those distributions for which a |
| 149 | // simple closed form is not known, |
| 150 | // and for which a domain_error and/or NaN generating function is NOT defined. |
| 151 | typedef typename Dist::value_type value_type; |
| 152 | return quantile(d, static_cast<value_type>(0.5f)); |
| 153 | } |
| 154 | |
| 155 | } // namespace math |
| 156 | } // namespace boost |
| 157 | |
| 158 | |
| 159 | #ifdef BOOST_MSVC |
| 160 | # pragma warning(pop) |
| 161 | #endif |
| 162 | |
| 163 | #endif // BOOST_STATS_DERIVED_HPP |
| 164 | |