mirror of
https://github.com/saitohirga/WSJT-X.git
synced 2025-11-03 21:40:52 -05:00
48 lines
1.3 KiB
C++
48 lines
1.3 KiB
C++
// Copyright John Maddock 2007.
|
|
// Copyright Paul A. Bristow 2010
|
|
// 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)
|
|
|
|
// Note that this file contains quickbook mark-up as well as code
|
|
// and comments, don't change any of the special comment mark-ups!
|
|
|
|
#include <iostream>
|
|
using std::cout; using std::endl;
|
|
|
|
//[policy_ref_snip2
|
|
|
|
#include <boost/math/distributions/normal.hpp>
|
|
using boost::math::normal_distribution;
|
|
|
|
using namespace boost::math::policies;
|
|
|
|
// Define a specific policy:
|
|
typedef policy<
|
|
overflow_error<ignore_error>
|
|
> my_policy;
|
|
|
|
// Define the distribution, using my_policy:
|
|
typedef normal_distribution<double, my_policy> my_norm;
|
|
|
|
// Construct a my_norm distribution, using default mean and standard deviation,
|
|
// and get a 0.05 or 5% quantile:
|
|
double q = quantile(my_norm(), 0.05); // = -1.64485
|
|
|
|
//] //[/policy_ref_snip2]
|
|
|
|
int main()
|
|
{
|
|
my_norm n; // Construct a my_norm distribution,
|
|
// using default mean zero and standard deviation unity.
|
|
double q = quantile(n, 0.05); // and get a quantile.
|
|
cout << "quantile(my_norm(), 0.05) = " << q << endl;
|
|
}
|
|
|
|
/*
|
|
|
|
Output:
|
|
|
|
quantile(my_norm(), 0.05) = -1.64485
|
|
*/
|