A Note on Characterizations of the Exponential Distribution*

被引:0
|
作者
Ushakov N.G. [1 ]
Ushakov V.G. [2 ]
机构
[1] Norwegian University of Science and Technology, Department of Mathematical Sciences, Trondheim
[2] Lomonosov Moscow State University, Department of Mathematical Statistics, Moscow
基金
俄罗斯科学基金会;
关键词
Probability Density Function; Cumulative Distribution Function; Exponential Distribution; Gamma Distribution; Hazard Rate;
D O I
10.1007/s10958-016-2763-8
中图分类号
学科分类号
摘要
The following classical characterization of the exponential distribution is well known. Let X1,X2,.. Xn be independent and identically distributed random variables. Their common distribution is exponential if and only if random variables X1 and n min(X1,..,Xn) have the same distribution. In this note we show that the characterization can be substantially simplified if the exponentiality is characterized within a broad family of distributions that includes, in particular, gamma, Weibull and generalized exponential distributions. Then the necessary and sufficient condition is the equality only expectations of these variables. A similar characterization holds for the maximum. © 2016, Springer Science+Business Media New York.
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页码:132 / 138
页数:6
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