asa152

asa152, a MATLAB code which computes the cumulative probabilities associated with the hypergeometric probability distribution, by Richard Lund.

This is a version of Applied Statistics Algorithm 152.

Licensing:

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

Languages:

asa152 is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version

Related Data and Programs:

asa152_test

prob, a MATLAB code which evaluates and inverts a number of probabilistic distributions.

test_values, a MATLAB code which contains sample values for a number of distributions.

Author:

Original FORTRAN77 version by Richard Lund; Matlab version by John Burkardt.

Reference:

1. PR Freeman,
   Algorithm AS 59: Hypergeometric Probabilities,
   Applied Statistics,
   Volume 22, Number 1, 1973, pages 130-133.
2. Richard Lund,
   Algorithm AS 152: Cumulative hypergeometric probabilities,
   Applied Statistics,
   Volume 29, Number 2, 1980, pages 221-223.
3. BL Shea,
   Remark AS R77: A Remark on Algorithm AS 152: Cumulative hypergeometric probabilities,
   Applied Statistics,
   Volume 38, Number 1, 1989, pages 199-204.

Source Code:

• alnorm.m computes the cumulative density of the standard normal distribution.
• chyper.m computes point or cumulative hypergeometric probabilities.