arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1601.04731math.PRmath.STstat.TH
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伽玛随机变量卷积的Schur性质

Schur properties of convolutions of gamma random variables

Farbod Roosta-Khorasani, Gabor J. Szekely

摘要:

建立了非均匀伽玛随机变量的卷积按通常的随机序进行比较的充分条件。这种比较的特征在于卷积的累积分布函数的Schur凸性。给出了一些结果的实际应用的例子。

英文摘要:

Sufficient conditions for comparing the convolutions of heterogeneous gamma random variables in terms of the usual stochastic order are established. Such comparisons are characterized by the Schur convexity properties of the cumulative distribution function of the convolutions. Some examples of the practical applications of our results are given.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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