It is well known that i.i.d. (independent and identically distributed) norm
al random variables are transformed into i.i.d. normal random variables by
any orthogonal transformation. Less well known are nonlinear transformation
s with the above-mentioned property. In this work we present nonlinear tran
sformations preserving normality. which are more general than the existing
ones in the literature. (C) 2001 Academic Press.