// 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) #ifndef BOOST_STATS_DERIVED_HPP #define BOOST_STATS_DERIVED_HPP // This file implements various common properties of distributions // that can be implemented in terms of other properties: // variance OR standard deviation (see note below), // hazard, cumulative hazard (chf), coefficient_of_variation. // // Note that while both variance and standard_deviation are provided // here, each distribution MUST SPECIALIZE AT LEAST ONE OF THESE // otherwise these two versions will just call each other over and over // until stack space runs out ... // Of course there may be more efficient means of implementing these // that are specific to a particular distribution, but these generic // versions give these properties "for free" with most distributions. // // In order to make use of this header, it must be included AT THE END // of the distribution header, AFTER the distribution and its core // property accessors have been defined: this is so that compilers // that implement 2-phase lookup and early-type-checking of templates // can find the definitions referred to herein. // #include #include #ifdef _MSC_VER # pragma warning(push) # pragma warning(disable: 4723) // potential divide by 0 // Suppressing spurious warning in coefficient_of_variation #endif namespace boost{ namespace math{ template typename Distribution::value_type variance(const Distribution& dist); template inline typename Distribution::value_type standard_deviation(const Distribution& dist) { BOOST_MATH_STD_USING // ADL of sqrt. return sqrt(variance(dist)); } template inline typename Distribution::value_type variance(const Distribution& dist) { typename Distribution::value_type result = standard_deviation(dist); return result * result; } template inline typename Distribution::value_type hazard(const Distribution& dist, const RealType& x) { // hazard function // http://www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm#HAZ typedef typename Distribution::value_type value_type; typedef typename Distribution::policy_type policy_type; value_type p = cdf(complement(dist, x)); value_type d = pdf(dist, x); if(d > p * tools::max_value()) return policies::raise_overflow_error( "boost::math::hazard(const Distribution&, %1%)", nullptr, policy_type()); if(d == 0) { // This protects against 0/0, but is it the right thing to do? return 0; } return d / p; } template inline typename Distribution::value_type chf(const Distribution& dist, const RealType& x) { // cumulative hazard function. // http://www.itl.nist.gov/div898/handbook/eda/section3/eda362.htm#HAZ BOOST_MATH_STD_USING return -log(cdf(complement(dist, x))); } template inline typename Distribution::value_type coefficient_of_variation(const Distribution& dist) { typedef typename Distribution::value_type value_type; typedef typename Distribution::policy_type policy_type; using std::abs; value_type m = mean(dist); value_type d = standard_deviation(dist); if((abs(m) < 1) && (d > abs(m) * tools::max_value())) { // Checks too that m is not zero, return policies::raise_overflow_error("boost::math::coefficient_of_variation(const Distribution&, %1%)", nullptr, policy_type()); } return d / m; // so MSVC warning on zerodivide is spurious, and suppressed. } // // Next follow overloads of some of the standard accessors with mixed // argument types. We just use a typecast to forward on to the "real" // implementation with all arguments of the same type: // template inline typename Distribution::value_type pdf(const Distribution& dist, const RealType& x) { typedef typename Distribution::value_type value_type; return pdf(dist, static_cast(x)); } template inline typename Distribution::value_type logpdf(const Distribution& dist, const RealType& x) { using std::log; typedef typename Distribution::value_type value_type; return log(pdf(dist, static_cast(x))); } template inline typename Distribution::value_type cdf(const Distribution& dist, const RealType& x) { typedef typename Distribution::value_type value_type; return cdf(dist, static_cast(x)); } template inline typename Distribution::value_type logcdf(const Distribution& dist, const Realtype& x) { using std::log; using value_type = typename Distribution::value_type; return log(cdf(dist, static_cast(x))); } template inline typename Distribution::value_type quantile(const Distribution& dist, const RealType& x) { typedef typename Distribution::value_type value_type; return quantile(dist, static_cast(x)); } /* template inline typename Distribution::value_type chf(const Distribution& dist, const RealType& x) { typedef typename Distribution::value_type value_type; return chf(dist, static_cast(x)); } */ template inline typename Distribution::value_type cdf(const complemented2_type& c) { typedef typename Distribution::value_type value_type; return cdf(complement(c.dist, static_cast(c.param))); } template inline typename Distribution::value_type logcdf(const complemented2_type& c) { using std::log; typedef typename Distribution::value_type value_type; return log(cdf(complement(c.dist, static_cast(c.param)))); } template inline typename Distribution::value_type quantile(const complemented2_type& c) { typedef typename Distribution::value_type value_type; return quantile(complement(c.dist, static_cast(c.param))); } template inline typename Dist::value_type median(const Dist& d) { // median - default definition for those distributions for which a // simple closed form is not known, // and for which a domain_error and/or NaN generating function is NOT defined. typedef typename Dist::value_type value_type; return quantile(d, static_cast(0.5f)); } } // namespace math } // namespace boost #ifdef _MSC_VER # pragma warning(pop) #endif #endif // BOOST_STATS_DERIVED_HPP