Distribution and double generating function of number of patterns in a sequence of Markov dependent multistate trials

被引:0
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作者
Yung-Ming Chang
James C. Fu
Han-Ying Lin
机构
[1] National Taitung University,Department of Mathematics
[2] University of Manitoba,Department of Statistics
[3] National University of Kaohsiung,Institute of Statistics
来源
Annals of the Institute of Statistical Mathematics | 2012年 / 64卷
关键词
Simple and compound patterns; Waiting time; Finite Markov chain imbedding; Probability generating function; Double generating function;
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摘要
In this manuscript, the dual relationship between the probability of number of runs and patterns and the probability of waiting time of runs and patterns in a sequence of multistate trials has been studied via double generating functions and recursive equations. The results, which are established under different assumptions on patterns, underlying sequences and counting schemes, are extensions of Koutras’s results (1997, Advances in Combinatorial Methods and Applications to Probability and Statistics, Boston: Birkhäuser). As byproducts, the exact distributions of the longest-run statistics are also derived. Numerical examples are provided for illustrating the theoretical results.
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页码:55 / 68
页数:13
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