jburkardt

TOMS462\ Bivariate Normal Distribution {#toms462-bivariate-normal-distribution align=”center”} =============================

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TOMS462 is a C++ library which evaluates the upper right tail of the bivariate normal distribution; that is, the probability that normal variables X and Y with correlation R will satisfy H <= X and K <= Y.

While the text of many ACM TOMS algorithms is available online through ACM: http://www.acm.org/pubs/calgo or NETLIB: http://www.netlib.org/toms/index.md, most of the early algorithms are not available. This is one of them. I typed it in.

Usage: {#usage align=”center”}

value = bivnor ( ah, ak, r )

computes VALUE, the probability that two variables, X and Y related by a bivariate normal distribution with correlation R, satisfy AH <= X and AK <= Y.

Licensing: {#licensing align=”center”}

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

Languages: {#languages align=”center”}

TOMS462 is available in a C version and a C++ version and a FORTRAN77 version and a FORTRAN90 version and a MATLAB version.

Related Data and Programs: {#related-data-and-programs align=”center”}

OWENS, a C++ library which evaluates Owen’s T function.

PROB, a C++ library which contains a number of routines for evaluating cumulative distribution functions.

TEST_VALUES, a C++ library which supplies test values of various mathematical functions.

Reference: {#reference align=”center”}

1. Thomas Donnelly,\ Algorithm 462: Bivariate Normal Distribution,\ Communications of the ACM,\ October 1973, Volume 16, Number 10, page 638.
2. Donald Owen,\ Tables for Computing Bivariate Normal Probabilities,\ Annals of Mathematical Statistics,\ Volume 27, Number 4, pages 1075-1090, December 1956.

Source Code: {#source-code align=”center”}

• toms462.cpp, the source code.
• toms462.hpp, the include file.

Examples and Tests: {#examples-and-tests align=”center”}

• toms462_prb.cpp, a sample calling program.
• toms462_prb_output.txt, the output from a run of the sample program.

List of Routines: {#list-of-routines align=”center”}

• BIVARIATE_NORMAL_CDF_VALUES returns some values of the bivariate normal CDF.
• BIVNOR computes the bivariate normal CDF.
• GAUSS returns the area of the lower tail of the normal curve.
• R8_ABS returns the absolute value of an R8.
• R8_MAX returns the maximum of two R8’s.
• R8_MIN returns the minimum of two R8’s.
• TIMESTAMP prints the current YMDHMS date as a time stamp.

You can go up one level to the C++ source codes.

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Last revised on 13 April 2012.