December 2011 Some inequalities of linear combinations of independent random variables. I.
Maochao Xu, Taizhong Hu
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J. Appl. Probab. 48(4): 1179-1188 (December 2011). DOI: 10.1239/jap/1324046026

Abstract

In this paper we provide some sufficient conditions to stochastically compare linear combinations of independent random variables. The main results extend those given in Proschan (1965), Ma (1998), Zhao et al. (2011), and Yu (2011). In particular, we propose a new sufficient condition to compare the peakedness of linear combinations of independent random variables which may have heavy-tailed properties.

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Maochao Xu. Taizhong Hu. "Some inequalities of linear combinations of independent random variables. I.." J. Appl. Probab. 48 (4) 1179 - 1188, December 2011. https://doi.org/10.1239/jap/1324046026

Information

Published: December 2011
First available in Project Euclid: 16 December 2011

zbMATH: 1230.60019
MathSciNet: MR2896675
Digital Object Identifier: 10.1239/jap/1324046026

Subjects:
Primary: 60E15

Keywords: likelihood ratio order , majorization , peakedness order , stochastic order

Rights: Copyright © 2011 Applied Probability Trust

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Vol.48 • No. 4 • December 2011
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