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函数空间弱收敛与随机过程依分布收敛

ON WEAK CONVERGENCE AND CONVERGENCE OF STOCHASTIC PROCESSES IN DISTRIBUTION
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摘要 设ξ_n(n=1,2,…)为一列随机过程,它的有限维分布收敛。本文用迫近法给出ξ_n依分布收敛的准则. This paper uses an approximate method to obtain some conditions in which the stochastic processes ξn converge to ξ in distribution. It is a new and uniform method for studying convergence of stochastic processes in distribution. The main result is Theorem 1 . By applying this theorem to C [0,1]and D[0, 1] , some findings have been made.
作者 汤尚勇
出处 《华南师范大学学报(自然科学版)》 CAS 1991年第2期78-81,共4页 Journal of South China Normal University(Natural Science Edition)
关键词 概率空间 弱收敛 依分布收敛 随机过程 probability space weak convergence, convergence in distribution metric space C [0,1]space D [0,1]space Lipa space
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