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Compound Markov negative binomial distribution

机译:复合马尔可夫负二项分布

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摘要

Let {Y-i}(i >= 1) be a sequence of {0,1} variables which forms a Markov chain with a given initial probability distribution and one-step transition probability matrix. Define N-n to be the number of trials until the nth success ("1") in {Y-i}(i >= 1). In this paper, we study the distribution of the random variable T = Sigma(Nn)(i=1) X-i, where {X-i}(i >= 1) is a sequence of independent and identically distributed random variables having a common phase-type distribution. The distribution of T is obtained by means of phase-type distributions. (C) 2015 Elsevier B.V. All rights reserved.
机译:令{Y-i}(i> = 1)为{0,1}变量的序列,这些变量形成具有给定初始概率分布和一步过渡概率矩阵的马尔可夫链。定义N-n为直到{Y-i}(i> = 1)的第n个成功(“ 1”)为止的试验次数。在本文中,我们研究了随机变量T = Sigma(Nn)(i = 1)Xi的分布,其中{Xi}(i> = 1)是一系列具有相同相位的独立且分布均匀的随机变量,类型分布。 T的分布是通过相位类型分布获得的。 (C)2015 Elsevier B.V.保留所有权利。

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