OWENS
Owen's T Function
OWENS
is a C++ library which
evaluates Owen's T function.
Licensing:
The computer code and data files described and made available on this web page
are distributed under
the GNU LGPL license.
Languages:
OWENS is available in
a C version and
a C++ version and
a FORTRAN90 version and
a MATLAB version and
a Python version.
Related Data and Programs:
ASA005,
a C++ library which
evaluates the CDF of the noncentral T distribution, and uses Owen's T function.
ASA076,
a C++ library which
evaluates Owen's T function.
ASA243,
a C++ library which
evaluates the CDF of the noncentral T distribution.
TEST_VALUES,
a C++ library which
includes selected values of many special functions.
Reference:
-
Donald Owen,
Tables for Computing Bivariate Normal Probabilities,
Annals of Mathematical Statistics,
Volume 27, Number 4, December 1956, pages 1075-1090.
-
Mike Patefield, David Tandy,
Fast and Accurate Calculation of Owen's T Function,
Journal of Statistical Software,
Volume 5, Number 5, 2000, pages 1-25.
Source Code:
Examples and Tests:
List of Routines:
-
BIVARIATE_NORMAL_CDF_VALUES returns some values of the bivariate normal CDF.
-
BIVPRB computes a bivariate normal CDF for correlated X and Y.
-
NORMAL_01_CDF_VALUES returns some values of the Normal 01 CDF.
-
NORMP computes the cumulative density of the standard normal distribution.
-
OWEN_VALUES returns some values of Owen's T function.
-
Q computes (1/2) * p(H
-
R8_ABS returns the absolute value of an R8.
-
T computes Owen's T function for arbitrary H and A.
-
TFUN computes Owen's T function for a restricted range of parameters.
-
TIMESTAMP prints the current YMDHMS date as a time stamp.
-
ZNORM1 evaluates the normal CDF from -oo to Z.
-
ZNORM2 evaluates the normal CDF from Z to +oo.
You can go up one level to
the C++ source codes.
Last revised on 15 December 2011.