Abstract
We compare weighted sums of i.i.d. positive random variables according to the usual stochastic order. The main inequalities are derived using majorization techniques under certain log-concavity assumptions. Specifically, let Y i be i.i.d. random variables on R+. Assuming that logYi has a log-concave density, we show that Σa iYi is stochastically smaller than Σ b iYi, if (loga1,..., logan) is majorized by (logb1,..., logbn). On the other hand, assuming that Yip has a log-concave density for some p > 1, we show that ΣaiYi is stochastically larger than ΣbiYi, if (a1q,..., anq) is majorized by (b1q,...,b nq), where p-1 +q-1 = 1. These unify several stochastic ordering results for specific distributions. In particular, a conjecture of Hitczenko [Sankhyā A 60 (1998) 171-175] on Weibull variables is proved. Potential applications in reliability and wireless communications are mentioned. © 2011 ISI/BS.
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CITATION STYLE
Yu, Y. (2011). Some stochastic inequalities for weighted sums. Bernoulli, 17(3), 1044–1053. https://doi.org/10.3150/10-BEJ302
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