[Boost-commit] svn:boost r38453 - sandbox/math_toolkit/libs/math/doc/distributions

From: john_at_[hidden]
Date: 2007-08-05 13:48:04

Author: johnmaddock
Date: 2007-08-05 13:47:58 EDT (Sun, 05 Aug 2007)
New Revision: 38453
URL: http://svn.boost.org/trac/boost/changeset/38453

Log:
Fix filename case
Added:
   sandbox/math_toolkit/libs/math/doc/distributions/nag_library.qbk
      - copied unchanged from r38452, /sandbox/math_toolkit/libs/math/doc/distributions/NAG_library.qbk
Removed:
   sandbox/math_toolkit/libs/math/doc/distributions/NAG_library.qbk

Deleted: sandbox/math_toolkit/libs/math/doc/distributions/NAG_library.qbk
==============================================================================
--- sandbox/math_toolkit/libs/math/doc/distributions/NAG_library.qbk	2007-08-05 13:47:58 EDT (Sun, 05 Aug 2007)
+++ (empty file)
@@ -1,54 +0,0 @@
-[section:NAG_library Comparison with C, R, FORTRAN-style Free Functions]
-
-
-You are probably familiar with a statistics library that has free functions,
-for example the classic [@http://nag.com/numeric/CL/CLdescription.asp NAG C library]
-and matching [@http://nag.com/numeric/FL/FLdescription.asp NAG FORTRAN Library],
-[@http://office.microsoft.com/en-us/excel/HP052090051033.aspx Microsoft Excel BINOMDIST(number_s,trials,probability_s,cumulative)],
-[@http://www.r-project.org/ R], [@http://www.ptc.com/products/mathcad/mathcad14/mathcad_func_chart.htm MathCAD pbinom]
-and many others.
-
-If so, you may find 'Distributions as Objects' unfamiliar, if not alien.
-
-However, *do not panic*, both definition and usage are not really very different.
-
-A very simple example of generating the same values for the binomial distribution follows.
-(If you find slightly different values, the Boost C++ version, using double or better,
-is very likely to be the more accurate.
-Of course, accuracy is not usually a concern for most applications of this function).
-
-The [@http://www.nag.co.uk/numeric/cl/manual/pdf/G01/g01bjc.pdf NAG function specification] is
-
-  void nag_binomial_dist(Integer n, double p, Integer k,
-  double *plek, double *pgtk, double *peqk, NagError *fail)
-
-and is called
-
-  g01bjc(n, p, k, &plek, &pgtk, &peqk, NAGERR_DEFAULT);
-  
-The equivalent using this Boost C++ library is:
-
-  using namespace boost::math;  // Using declaration avoids very long names.
-  
-  binomial my_dist(4, 0.5); // c.f. NAG n = 4, p = 0.5
-  
-and values can be output thus:
-
-  cout
-    << my_dist.trials() << " "             // Echo the NAG input n = 4 trials.
-    << my_dist.success_fraction() << " "   // Echo the NAG input p = 0.5
-    << cdf(my_dist, 2) << "  "             // NAG plek with k = 2
-    << cdf(complement(my_dist, 2)) << "  " // NAG pgtk with k = 2
-    << pdf(my_dist, 2) << endl;            // NAG peqk with k = 2
-
-
-`cdf(dist, k)` is equivalent to NAG library `plek`, lower tail probability of <= k
-
-`cdf(complement(dist, k))` is equivalent to NAG library `pgtk`, upper tail probability of > k
-
-`pdf(dist, k)` is equivalent to NAG library `peqk`, point probability of == k
-
-See [@../../example/binomial_example3.cpp binomial_example3.cpp] for details.
-
-[endsect][/ section:NAG_library Comparison with C, R, FORTRAN-style Free Functions]
-