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On ordered series and later waiting time distributions in a sequence of Markov dependent multistate trials

机译:依赖于马尔科夫的多状态试验序列中的有序序列和以后的等待时间分布

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The sooner and later waiting time problems have been extensively studied and applied in various areas of statistics and applied probability. In this paper, we give a comprehensive study of ordered series and later waiting time distributions of a number of simple patterns with respect to nonoverlapping and overlapping counting schemes in a sequence of Markov dependent multistate trials. Exact distributions and probability generating functions are derived by using the finite Markov chain imbedding technique. Examples are given to illustrate our results. [References: 18]
机译:早晚的等待时间问题已被广泛研究并应用于统计和应用概率的各个领域。在本文中,我们对一系列依赖Markov的多状态试验中的非重叠和重叠计数方案,对许多简单模式的有序序列和以后的等待时间分布进行了全面研究。通过使用有限马尔可夫链嵌入技术推导精确分布和概率生成函数。举例说明了我们的结果。 [参考:18]

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