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Some properties of subexponential distributions
Authors:A L Yakymiv
Institution:(1) V. A. Steklov Mathematics Institute, Russian Academy of Sciences, USSR
Abstract:The nonnegative random variableX is said to have a subexponential distribution if we have (1-G(t))/(1-F(t))→2 ast→∞, whereF(t)=P{Xt} andG(t) is the convolution ofF(t) with itself. Conditions on the distribution of independent nonnegative random variablesX andY such that max(X, Y) and min(X, Y) have a subexponential distribution are given. Translated fromMatematicheskie Zametki, Vol. 62, No. 1, pp. 138–144, July, 1997. Translated by N. K. Kulman
Keywords:subexponential distribution  sufficient conditions for the subexponential property  convolution of two distributions
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