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双无限环境中马氏链函数加权和的强收敛性
  • ISSN号：1001-4268
  • 期刊名称：应用概率统计
  • 时间：2012
  • 页码：12-20
  • 分类：O211.62[理学—概率论与数理统计;理学—数学] X-01[环境科学与工程]
  • 作者机构：[1]School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China
  • 相关基金：The author would like to thank the referees for comments on conditions （C1） and （C2）. This work was supported in part by the National Natural Science Foundation of China （Grant No. 11171262） and the Specialized Research Fund for the Doctoral Program of Higher Education of China （Grant No. 20130141110076）.
  • 相关项目：复发事件数据部分线性回归模型的有效统计推断
作者： 刘莉|万成高|
关键词： 随机游动, 环境法律, 重对数律, 瞬时, 独立同分布, 随机环境, 遍历, 瞬态, Laws of iterated logarithm, random walk, random environment
中文摘要：

我们在随机的环境为一个维的短暂随机的散步考虑重申的对数的法律。重申的对数的一条熄灭的法律被介绍因为短暂随机走包括独立相等分布式的环境的一般来说各态历经的随机的环境和一致地各态历经的环境。

英文摘要：

We consider laws of iterated random walks in random environments. logarithm for one-dimensional transient A quenched law of iterated logarithm is presented for transient random walks in general ergodic random environments, including independent identically distributed environments and uniformly ergodic environments.

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复发事件数据部分线性回归模型的有效统计推断
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在非线性下马氏过程的遍历性和大偏差
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期刊信息
  • 《应用概率统计》
  • 中国科技核心期刊
  • 主管单位:中国科协
  • 主办单位:中国数学会概率统计学会
  • 主编：陈木法
  • 地址：上海市闵行区东川路500号华东师范大学统计学院
  • 邮编：200241
  • 邮箱：aps@stat.ecnu.edu.cn
  • 电话：021-54345267
  • 国际标准刊号：ISSN：1001-4268
  • 国内统一刊号：ISSN：31-1256/O1
  • 邮发代号:4-414
  • 获奖情况:
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  • 被引量:3548