// 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_EXPONENTIAL_HPP #define BOOST_STATS_EXPONENTIAL_HPP #include #include #include #include #include #include #include #ifdef BOOST_MSVC # pragma warning(push) # pragma warning(disable: 4127) // conditional expression is constant # pragma warning(disable: 4702) // unreachable code (return after domain_error throw). #endif #include namespace boost{ namespace math{ namespace detail{ // // Error check: // template inline bool verify_lambda(const char* function, RealType l, RealType* presult, const Policy& pol) { if((l <= 0) || !(boost::math::isfinite)(l)) { *presult = policies::raise_domain_error( function, "The scale parameter \"lambda\" must be > 0, but was: %1%.", l, pol); return false; } return true; } template inline bool verify_exp_x(const char* function, RealType x, RealType* presult, const Policy& pol) { if((x < 0) || (boost::math::isnan)(x)) { *presult = policies::raise_domain_error( function, "The random variable must be >= 0, but was: %1%.", x, pol); return false; } return true; } } // namespace detail template > class exponential_distribution { public: typedef RealType value_type; typedef Policy policy_type; exponential_distribution(RealType l_lambda = 1) : m_lambda(l_lambda) { RealType err; detail::verify_lambda("boost::math::exponential_distribution<%1%>::exponential_distribution", l_lambda, &err, Policy()); } // exponential_distribution RealType lambda()const { return m_lambda; } private: RealType m_lambda; }; typedef exponential_distribution exponential; template inline const std::pair range(const exponential_distribution& /*dist*/) { // Range of permissible values for random variable x. if (std::numeric_limits::has_infinity) { return std::pair(static_cast(0), std::numeric_limits::infinity()); // 0 to + infinity. } else { using boost::math::tools::max_value; return std::pair(static_cast(0), max_value()); // 0 to + max } } template inline const std::pair support(const exponential_distribution& /*dist*/) { // Range of supported values for random variable x. // This is range where cdf rises from 0 to 1, and outside it, the pdf is zero. using boost::math::tools::max_value; using boost::math::tools::min_value; return std::pair(min_value(), max_value()); // min_value() to avoid a discontinuity at x = 0. } template inline RealType pdf(const exponential_distribution& dist, const RealType& x) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::pdf(const exponential_distribution<%1%>&, %1%)"; RealType lambda = dist.lambda(); RealType result = 0; if(0 == detail::verify_lambda(function, lambda, &result, Policy())) return result; if(0 == detail::verify_exp_x(function, x, &result, Policy())) return result; // Workaround for VC11/12 bug: if ((boost::math::isinf)(x)) return 0; result = lambda * exp(-lambda * x); return result; } // pdf template inline RealType cdf(const exponential_distribution& dist, const RealType& x) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::cdf(const exponential_distribution<%1%>&, %1%)"; RealType result = 0; RealType lambda = dist.lambda(); if(0 == detail::verify_lambda(function, lambda, &result, Policy())) return result; if(0 == detail::verify_exp_x(function, x, &result, Policy())) return result; result = -boost::math::expm1(-x * lambda, Policy()); return result; } // cdf template inline RealType quantile(const exponential_distribution& dist, const RealType& p) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::quantile(const exponential_distribution<%1%>&, %1%)"; RealType result = 0; RealType lambda = dist.lambda(); if(0 == detail::verify_lambda(function, lambda, &result, Policy())) return result; if(0 == detail::check_probability(function, p, &result, Policy())) return result; if(p == 0) return 0; if(p == 1) return policies::raise_overflow_error(function, 0, Policy()); result = -boost::math::log1p(-p, Policy()) / lambda; return result; } // quantile template inline RealType cdf(const complemented2_type, RealType>& c) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::cdf(const exponential_distribution<%1%>&, %1%)"; RealType result = 0; RealType lambda = c.dist.lambda(); if(0 == detail::verify_lambda(function, lambda, &result, Policy())) return result; if(0 == detail::verify_exp_x(function, c.param, &result, Policy())) return result; // Workaround for VC11/12 bug: if (c.param >= tools::max_value()) return 0; result = exp(-c.param * lambda); return result; } template inline RealType quantile(const complemented2_type, RealType>& c) { BOOST_MATH_STD_USING // for ADL of std functions static const char* function = "boost::math::quantile(const exponential_distribution<%1%>&, %1%)"; RealType result = 0; RealType lambda = c.dist.lambda(); if(0 == detail::verify_lambda(function, lambda, &result, Policy())) return result; RealType q = c.param; if(0 == detail::check_probability(function, q, &result, Policy())) return result; if(q == 1) return 0; if(q == 0) return policies::raise_overflow_error(function, 0, Policy()); result = -log(q) / lambda; return result; } template inline RealType mean(const exponential_distribution& dist) { RealType result = 0; RealType lambda = dist.lambda(); if(0 == detail::verify_lambda("boost::math::mean(const exponential_distribution<%1%>&)", lambda, &result, Policy())) return result; return 1 / lambda; } template inline RealType standard_deviation(const exponential_distribution& dist) { RealType result = 0; RealType lambda = dist.lambda(); if(0 == detail::verify_lambda("boost::math::standard_deviation(const exponential_distribution<%1%>&)", lambda, &result, Policy())) return result; return 1 / lambda; } template inline RealType mode(const exponential_distribution& /*dist*/) { return 0; } template inline RealType median(const exponential_distribution& dist) { using boost::math::constants::ln_two; return ln_two() / dist.lambda(); // ln(2) / lambda } template inline RealType skewness(const exponential_distribution& /*dist*/) { return 2; } template inline RealType kurtosis(const exponential_distribution& /*dist*/) { return 9; } template inline RealType kurtosis_excess(const exponential_distribution& /*dist*/) { return 6; } template inline RealType entropy(const exponential_distribution& dist) { using std::log; return 1 - log(dist.lambda()); } } // namespace math } // namespace boost #ifdef BOOST_MSVC # pragma warning(pop) #endif // This include must be at the end, *after* the accessors // for this distribution have been defined, in order to // keep compilers that support two-phase lookup happy. #include #endif // BOOST_STATS_EXPONENTIAL_HPP