Run Probabilities in Sequences of Markov-Dependent Trials
Run Probabilities in Sequences of Markov-Dependent Trials
复制标题
马尔可夫相关试验序列中的运行概率
DOI：
10.1080/01621459.1983.10477947
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发表时间：
1983
影响因子：
3.7
通讯作者：
S. Schwager
中科院分区：
文献类型：
--
作者：
S. Schwager
运行R的发生概率是R、试验数n和每次试验中v≥2个可能结果的概率的组合函数。运行R可以由任何指定的结果序列组成，并且还会评估一个或多个给定运行集合发生的概率。v个可能结果的概率可以任意变化，并且可以是L阶马尔可夫依赖于前面的L个结果。讨论了这些结果的实际应用。
Abstract The probability of the occurrence of a run R is obtained as a function of the composition of R, the number n of trials, and the probabilities of the v ≥ 2 possible outcomes at each trial. The run R can consist of any specified sequence of outcomes, and the probability that one or more of a given collection of runs occurs is also evaluated. The probabilities of the v possible outcomes can vary arbitrarily from trial to trial, and can be L-order Markov dependent on the L preceding outcomes. The practical application of these results is discussed.