سال انتشار: ۱۳۷۹
محل انتشار: پنجمین کنفرانس آمار ایران
تعداد صفحات: ۱۰
G.G. Hamedani – Department of Mathematics, Statistics, and Computer Science Marquette University, P.O. Box 1881, Milwaukee, WI 53201-1881, U.A.A.
Hans Volkmer – Department of Mathematical Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, U.S.A.
It is well-known that i.i.d. (independent and identically distributed) normal random variables are transformed into i.i.d. normal random variables by any orthogonal transformation. Less well-known are nonlinear transformations with the above mentioned property, see . In this work we present nonlinear transformations preserving normality, which are more general than the existing ones in the literature.