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- In this paper, we discuss the classification of states on skew product Markov chains, and the ergodic results. We divide the space of states in two ways. 摘要本文利用一般马氏链的理论讨论了随机环境中的马氏链的各种状态的特征及遍历性,并用两种方式将状态空间进行严格的分类。
- First of all, using the theory of general states Markov chain, we define some character number of skew product Markov chain. 利用一般马氏链的理论,首先给出了绕积马氏链的特征数的定义和相互关系。
- The Classification of States for Skew Product Markov Chains 绕积马氏链的状态分类
- The property of states for skew Product Markov Chains 绕积马氏链的状态性质
- The Invariant Measure and Ergodic Limit for Skew Product Markov Chains 绕积Markov链的不变测度及遍历极限
- skew product Markov chains 绕积马氏链
- A Markov Chain Approach to Baseball. 用于棒球。
- A Markov Chain Model of Tornadic Activity. 龙卷风活动的马尔科夫链模式。
- Commingled in an endless Markov chain! 合成一条无穷无尽的马尔可夫链!
- We establish the strong limit theorem for countable Markov chains indexed by a homogeneous tree. 摘要研究了齐次树指标可列马氏链的一类强极限定理。
- A traffic load forecast model by optimally combined Markov chain is presented. 提出了一种基于最优组合马尔柯夫链的业务量预测模型 .
- A strong law of large numbers for mth order countable nonhomogeneous Markov chains was studied. 摘要研究了可列m重非齐次马氏链的一个强大数定律。
- As corollaries,a limit theorem for the mth-order nonhomogeneous Markov chains is obtained. 作为推论,得到m重非齐次马氏链的一个强极限定理,并将已有的结果加以推广。
- Finally, we study the properties of various character functions for Markov chains in random environments. 研究了随机环境中马氏链的各种特性函数的性质。
- Some strong limit theorems of Markov chains in Markovian environments are studied by analysis method. 利用分析方法研究了马氏环境中马氏链的若干强极限定理。
- The theory of Markov chains was fruitfully applied to estimating the expected mine-sweeper casualties of the two forms of the progressive sequence sweeping technique. 为了比较这2种清扫模式下扫雷艇期望损失的大小,应用马尔可夫过程理论对这两种清扫模式的扫雷舰艇期望损失进行了一定条件下的分析。
- As corollaries, a limit theorem for the mth-order nonhomogeneous Markov chains is obtained.Moreover.The results obtained are generalized. 作为推论,得到m重非齐次马氏链的一个强极限定理,并将已有的结果加以推广。
- The strong limit theorem of hidden nonhomogeneous Markov model is studied when the hidden chains are nonhomogeneous Markov chains. 摘要假定隐藏的马尔可夫链为非齐次,研究隐非齐次马尔可夫模型的一些强极限定理。
- As corollaries, a class of strong limit theorems for arbitrary function of the random sum of three-order nonhomogeneous Markov chains are obtained. 在此基础上得到了关于三阶非齐次马氏链泛函随机和的一类普遍成立的强极限定理。
- In this paper,we are to study a strong law of large numbers for function of Markov processes and Markov chains in Markovian environments. 本文主要研究了马氏过程函数以及马氏环境中马氏链函数的强大数定律。