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99 lines
4.2 KiB
C++
99 lines
4.2 KiB
C++
NOte now obselete - see deistribution_construction.cpp
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// negative_binomial_example2.cpp
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// Copyright Paul A. Bristow 2007.
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// Use, modification and distribution are subject to the
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// Boost Software License, Version 1.0.
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// (See accompanying file LICENSE_1_0.txt
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// or copy at http://www.boost.org/LICENSE_1_0.txt)
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// Example 2 of using constructing distributions, shown here for negative_binomial.
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#include <boost/math/distributions/negative_binomial.hpp> // for negative_binomial_distribution
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using boost::math::negative_binomial_distribution; // default type is double.
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using boost::math::negative_binomial; // typedef provides default type is double.
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#include <boost/math/distributions/binomial.hpp> // for negative_binomial_distribution
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#include <iostream>
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using std::cout;
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using std::endl;
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int main()
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{
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// Several examples of constructing distributions, for example, negative binomial:
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// A negative binomial with 8 successes and a success fraction 0.25, 25% or 1 in 4 is constructed like this:
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boost::math::negative_binomial_distribution<double> mydist0(8., 0.25);
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// But this is inconveniently long.
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// The prefix boost::math:: can be avoided by
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using boost::math::negative_binomial_distribution;
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// Allows convenient reference to negative_binomial_distribution.
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negative_binomial_distribution<> mydist9(8., 0.25); // Uses default RealType = double.
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// But the name "negative_binomial_distribution" is still inconveniently long,
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// so for most distributions, a typedef is provided, for example:
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// typedef negative_binomial_distribution<double> negative_binomial; // Reserved name of type double.
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using boost::math::negative_binomial; // Allows convenient access to the name negative_binomial.
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// Some examples using the provided typedef:
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// Allows convenient reference to negative_binomial of default type double.
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negative_binomial mydist10(5., 0.4); // Both arguments double.
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// And automatic conversion takes place, so you can use integers and floats:
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negative_binomial mydist11(5, 0.4); // Using provided typedef double, int and double arguments.
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// This is probably the most common usage.
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negative_binomial mydist12(5., 0.4F); // Double and float arguments.
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negative_binomial mydist13(5, 1); // Both arguments integer.
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// But for cases when the typdef distribution name
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// would clash with a math special function
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// (for example binomial, beta and gamma)
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// the typedef is deliberately not provided, and
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// the longer version(s) must be used.
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// For example:
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using namespace boost::math;
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// NOT binomial myb010(1, 0.5); but
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binomial_distribution<> myb1(1, 0.5);
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// You can also provide the type RealType explicitly thus:
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negative_binomial_distribution<double> mydist1(8., 0.25); // Explicit double.
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negative_binomial_distribution<float> mydist2(8., 0.25); // Explicit float, double arguments -> float.
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negative_binomial_distribution<float> mydist3(8, 0.25); // Explicit float, integer & double arguments -> float.
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negative_binomial_distribution<float> mydist4(8.F, 0.25F); // Explicit float, float arguments, no conversion.
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negative_binomial_distribution<float> mydist5(8, 1); // Explicit integer, integer arguments -> float.
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negative_binomial_distribution<double> mydist6(8., 0.25); // Explicit double.
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negative_binomial_distribution<long double> mydist7(8., 0.25); // Explicit long double.
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// And if you have your own RealType called MyFPType,
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// for example NTL quad_float (128-bit floating-point), then:
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// negative_binomial_distribution<MyFPType> mydist6(8, 1); // Integer arguments -> MyFPType.
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// Note that default constructor arguments are only provided for some distributions.
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// negative_binomial_distribution<> mydist;
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// error C2512 no appropriate default constructor available.
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// Since there are no accessor functions, no default constructor are provided,
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// because it is difficult to chose any sensible default values for this distribution.
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// For other distribution, like the normal distribution,
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// it is obviously very useful to provide
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// defaults for the mean and standard deviation thus:
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// normal_distribution(RealType mean = 0, RealType sd = 1)
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return 0;
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} // int main()
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/*
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*/
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