📄 pareto.qbk
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[section:pareto Pareto Distribution]``#include <boost/math/distributions/pareto.hpp>`` namespace boost{ namespace math{ template <class RealType = double, class ``__Policy`` = ``__policy_class`` > class pareto_distribution; typedef pareto_distribution<> pareto; template <class RealType, class ``__Policy``> class pareto_distribution { public: typedef RealType value_type; // Constructor: pareto_distribution(RealType location = 1, RealType shape = 1) // Accessors: RealType location()const; RealType shape()const; }; }} // namespaces The [@http://en.wikipedia.org/wiki/pareto_distribution Pareto distribution]is a continuous distribution with the [@http://en.wikipedia.org/wiki/Probability_density_function probability density function (pdf)]:f(x; [alpha], [beta]) = [alpha][beta][super [alpha]] / x[super [alpha]+ 1]For shape parameter [alpha][space] > 0, and location parameter [beta][space] > 0, and [alpha][space] > 0.The [@http://mathworld.wolfram.com/paretoDistribution.html Pareto distribution]often describes the larger compared to the smaller.A classic example is that 80% of the wealth is owned by 20% of the population.The following graph illustrates how the PDF varies with the location parameter [beta]:[graph pareto_pdf1]And this graph illustrates how the PDF varies with the shape parameter [alpha]:[graph pareto_pdf2][h4 Related distributions] [h4 Member Functions] pareto_distribution(RealType location = 1, RealType shape = 1); Constructs a [@http://en.wikipedia.org/wiki/pareto_distribution pareto distribution] with shape /shape/ and scale /scale/.Requires that the /shape/ and /scale/ parameters are both greater than zero, otherwise calls __domain_error. RealType location()const; Returns the /location/ parameter of this distribution. RealType shape()const; Returns the /shape/ parameter of this distribution.[h4 Non-member Accessors]All the [link math_toolkit.dist.dist_ref.nmp usual non-member accessor functions] that are generic to alldistributions are supported: __usual_accessors.The supported domain of the random variable is \[location, [infin]\].[h4 Accuracy]The pareto distribution is implemented in terms of the standard library `exp` functions plus __expm1and as such should have very low error ratesexcept when probability is very close to unity.[h4 Implementation]In the following table [alpha][space] is the shape parameter of the distribution, and[beta][space] is its location parameter, /x/ is the random variate, /p/ is the probabilityand its complement /q = 1-p/.[table[[Function][Implementation Notes]][[pdf][Using the relation: pdf p = [alpha][beta][super [alpha]]/x[super [alpha] +1] ]][[cdf][Using the relation: cdf p = 1 - ([beta][space] / x)[super [alpha]] ]][[cdf complement][Using the relation: q = 1 - p = -([beta][space] / x)[super [alpha]] ]][[quantile][Using the relation: x = [alpha] / (1 - p)[super 1/[beta]] ]][[quantile from the complement][Using the relation: x = [alpha] / (q)[super 1/[beta]] ]][[mean][[alpha][beta] / ([beta] - 1) ]][[variance][[beta][alpha][super 2] / ([beta] - 1)[super 2] ([beta] - 2) ]][[mode][[alpha]]][[skewness][Refer to [@http://mathworld.wolfram.com/paretoDistribution.html Weisstein, Eric W. "Pareto Distribution." From MathWorld--A Wolfram Web Resource.] ]][[kurtosis][Refer to [@http://mathworld.wolfram.com/paretoDistribution.html Weisstein, Eric W. "Pareto Distribution." From MathWorld--A Wolfram Web Resource.] ]][[kurtosis excess][Refer to [@http://mathworld.wolfram.com/paretoDistribution.html Weisstein, Eric W. "pareto Distribution." From MathWorld--A Wolfram Web Resource.] ]]][h4 References]* [@http://en.wikipedia.org/wiki/pareto_distribution Pareto Distribution]* [@http://mathworld.wolfram.com/paretoDistribution.html Weisstein, Eric W. "Pareto Distribution." From MathWorld--A Wolfram Web Resource.][endsect][/section:pareto pareto][/ Copyright 2006 John Maddock and Paul A. Bristow. Distributed under 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).]
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