Antithetic lognormal/normal random variables

This paper is concerned with computer simulation methodology. It is in response to the problems reported by Ferrenberg, et. al. (1992) regarding the effect of serial correlation in biasing the outcomes from Monte Carlo experiments. This is of great and particular concern to scientists who require accuracy in estimation. A new method for creating antithetic bivariate random numbers, resulting in reduced serial correlation, is given.