The numerical computation of a multivariate normal
probability is often a difficult problem. This article describes
a transformation that simplifies the problem
and places it into a form that allows efficient calculation using
standard numerical multiple integration algorithms.
Test results are presented that compare implementations of two
algorithms that use the transformation,
with currently available software.
KEY WORDS: multivariate normal distribution, Monte-Carlo, adaptive
integration.