We prove that the multivariate standard normal probability distribution fun
ction is concave for large argument values. The method of proof allows for
the derivation of similar statements for other types of multivariate probab
ility distribution functions too. The result has important application, e.g
., in probabilistic constrained stochastic programming problems. 2001 Elsev
ier Science B.V. All rights reserved.