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可列非齐次马氏链泛函的一类强大数定律 被引量:2

A Class of Strong Laws of Large Numbers for Functionals of Countable Nonhomogeneous Markov Chains
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摘要 本文用分析方法研究可列非齐次马氏链{Xn}的泛函{fn(Xn)}的极限性质,得到一类不同形式的强大数定律,在其中通常形式的强大数定律中的数学期望E[fn(Xn)]被条件期望所代替,关于独立随机变量序列的若干经典强大数定律是本文结果的推论. In this paper the limit properties of the functionals{fn(xn)}of a countable nonhomogeneous Markov chain{Xn}are studied by using an analytic approach,and a class of strong laws of large numbers with different form lrom the usual ones are obtained,where the conditional expectation is used instead of the expectation in the usual form of the strong law of large numbers.Some classical results on strong law of large numbers for the independent random sequences are corollaries of the results of this paper.
出处 《河北工业大学学报》 CAS 1996年第1期1-8,共8页 Journal of Hebei University of Technology
基金 河北省自然科学基金
关键词 非齐次马氏链 强大数定律 条件期望 马氏链 Countable nonhomogeneous Markov chain Strong law of large numbers Conditional expectation.
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参考文献2

  • 1刘文,Ann Probab,1990年,18卷,829页
  • 2朱成熹,数学学报,1988年,31卷,5期,464页

同被引文献14

  • 1赵静,魏杰.关于可列非齐次马氏泛函的一类强偏差定理[J].应用概率统计,2005,21(2):176-182. 被引量:1
  • 2Paz A. Ergodic Theorems for infinite probabilistic tables[J]. Annals of Mathematical Statistic, 1970(41): 539-550.
  • 3Isaacson D L, Madsen R W. Markov Chains Theory and Applications[M]. New York: London Sydney, Toronto, John Wiley & Sons, Inc, 1976.
  • 4Huang C C, Isaacson D L. Ergodicity mean visit times[J]. London Math Soc, 1976, 14(2): 570-576.
  • 5朱成熹 陈俊雅 魏文元.离散参数非齐次马尔克夫链的强大数定律.数学学报,1988,31(4):464-474.
  • 6Chung K L. Markov Chains with Stationary Transition[M]. New York: Springer, 1960: 43-45.
  • 7Paz A.Ergodic Theorems for Infinite Probabilistic Tables[J].Annals of Mathematical Statistics,1970(41):539-550.
  • 8Isaacson D L,Madsen R W.Markov Chains Theory and Applications[M].New York,London Sydney,Toronto:John Wiley & Sons,Inc,1976.
  • 9Huang C C,Isaacson D L.Ergodicity Using Mean Visit Times[J].J London Math Soc,1976,14(2):570-576.
  • 10朱成熹 陈俊雅 魏文元.离散参数非齐次马尔可夫链的强大数定律[J].数学学报,1988,31(4):464-474.

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