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Some results on asymptotic behaviors of random sums of independent identically distributed random variables

机译:关于独立同分布随机变量的随机和的渐近行为的一些结果

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Let ${{X_{n},~ ngeq 1}}$ be a sequence of independent identically distributed (i.i.d.) random variables (r.vs.), defined on a probability space $(Omega, mathcal{A}, P),$ and let ${N_{n},~ ngeq 1}$ be a sequence of positive integer-valued r.vs., defined on the same probability space $(Omega, mathcal{A}, P).$ Furthermore, we assume that the r.vs. $N_{n},~ ngeq 1$ are independent of all r.vs.~$X_{n},~ ngeq 1.$ In present paper we are interested in asymptotic behaviors of the random sum [S_{N_{n}}=X_{1}+X_{2}+cdots+X_{N_{n}}, quad S_{0}=0,] where the r.vs. $N_{n},~ ngeq 1$ obey some defined probability laws. Since the appearance of the Robbins's results in 1948 ([8]), the random sums $S_{N_{n}}$ have been investigated in the theory probability and stochastic processes for quite some time (see [1-5]). Recently, the random sum approach is used in some applied problems of stochastic processes, stochastic modeling, random walk, queue theory, theory of network or theory of estimation (see [10], [12]). The main aim of this paper is to establish some results related to the asymptotic behaviors of the random sum $S_{N_{n}},$ in cases when the $N_{n}, ngeq 1 $ are assumed to follow concrete probability laws as Poisson, Bernoulli, binomial or geometry.
机译:令$ {{X_ {n},〜n geq 1 }} $是在概率空间$( Omega, mathcal上定义的独立均匀分布(iid)随机变量(r.vs.)的序列{A},P),$并令$ {N_ {n},〜n geq 1 } $是在相同概率空间$( Omega, mathcal {A},P)。$此外,我们假设r.vs。 $ N_ {n},〜n geq 1 $独立于所有r.vs.〜$ X_ {n},〜n geq 1. $在本论文中,我们对随机和 [S_ {N_ {n}} = X_ {1} + X_ {2} + cdots + X_ {N_ {n}}, quad S_ {0} = 0,],其中r.vs。 $ N_ {n},〜n geq 1 $遵循一些定义的概率定律。自从1948年罗宾斯的结果出现以来([8]),已经在相当长的一段时间内研究了随机和$ S_ {N_ {n}} $的理论概率和随机过程(参见[1-5])。最近,随机和方法被用于一些随机过程,随机建模,随机游走,队列理论,网络理论或估计理论的应用问题(见[10],[12])。本文的主要目的是建立一些与随机和$ S_ {N_ {n}},$的渐近行为有关的结果,假设$ N_ {n},n geq 1 $遵循具体泊松,伯努利,二项式或几何等概率定律。

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