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C-T型条件下连续随机序列的一类强偏差定理

The Strong Deviation Theorems for Continuous Random Sequence under the Chung-Teicher Type Conditions
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摘要 利用随机序列渐近对数似然比的概念构造几乎处处收敛的上鞅,在适当的C-T型条件下给出了任意相依连续型随机序列的两个强偏差定理。 Introduces the notion of asymptotic log-likelihood ratio of stochastic sequence, as a measure of "dissimilarity" between their joint distributions and the product of their marginals, establishes three results for the strong deviation theorems under the Chung-Teicher type conditions.
作者 陈文波
出处 《安徽工业大学学报(自然科学版)》 CAS 2008年第2期226-230,共5页 Journal of Anhui University of Technology(Natural Science)
基金 安徽省教育厅自然科学基金资助(2006KJ246B)
关键词 随机序列 渐近对数似然比 强偏差定理 stochastic sequence asymptotic log-likelihood ratio strong deviation theorem
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参考文献5

  • 1Liu Wen.A kind of Strong Deviation Theorems for the sequence of nonnegative integer-valued random variables[J]. Statistics & Probability Letters, 1997,32: 269-276.
  • 2Wang Zhong-zhi.A class of random deviation theorems for sums of nonnegative stochastic sequence and strong lain of large number [J]. Statistics & Probability Letter, 2006,76:2017-2026.
  • 3Yang Weiguo.Strong limit theorem for arbitrary stochastic sequence[J]. J.Math.Anal.Appl.,2007,326: 1445-1451.
  • 4Wang Zhong-zhi.Some strong deviation theorems for dependent stochastic sequence[J]. International Mathematical Forum,2007, 26: 1275-1280.
  • 5Chung K L.A Course in Probability Theory[M]. 2nd ed. New York : Academic Press, 1988.

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