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In article <[EMAIL PROTECTED]>, Alexander R. Pruss <[EMAIL PROTECTED]> wrote: >Subject says it all: Is it possible that A+B is a normal random >variable when A and B are independent but not both normal (I am not >assuming identical distribution)? This is the Levy-Cramer Theorem. The answer is no. The easiest proof is to use the moment generating function, which is exp(Q(t)), where Q(t) = m*t + v*t^2/2, v the variance. It then follows that the moment generating functions of A and B exist for all complex values, and are hence are non-zero entire functions. This makes their logarithms entire, and it then follow that those functions are bounded by quadratics, and hence are quadratics. -- This address is for information only. I do not claim that these views are those of the Statistics Department or of Purdue University. Herman Rubin, Department of Statistics, Purdue University [EMAIL PROTECTED] Phone: (765)494-6054 FAX: (765)494-0558
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