Title of article :
From the central limit theorem to heavy-tailed distributions.
Author/Authors :
Chen، Jinwen نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Abstract :
It has been observed that in many practical situations randomly stopped products of random variables have power law distributions. In this note we show that, in order for such a product to have a power law distribution, the only random indices are the exponentially distributed ones. We also consider a more general problem, which is closely related to problems concerning transformation from the central limit theorem to heavy-tailed distributions.
Keywords :
randomly indexed product , Heavy-tailed distribution , Power law , Central limit theorem
Journal title :
JOURNAL OF APPLIED PROBABILITY
Journal title :
JOURNAL OF APPLIED PROBABILITY