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A compound negative binomial distribution with mutative termination conditions based on a change point

  • Xiaoyue Wang
  • , Xian Zhao*
  • , Jinglei Sun
  • *Corresponding author for this work
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, an extended negative binomial distribution called NBM is proposed by considering mutative termination conditions based on a change point. If the condition A is satisfied before the occurrence of the change point, the trial is terminated according to condition A. Otherwise, if the condition A does not happen and the change point is satisfied, the termination condition of the trial changes from condition A to condition B. We consider the conditions under which the resulting distribution can be degenerated to the existing negative binomial distributions and other new negative binomial distributions. The finite Markov chain imbedding approach is employed to derive the new negative binomial distribution (NBM) and to obtain the related probabilistic indexes. Furthermore, we study the distribution of the compound negative binomial distribution with mutative termination conditions based on a change point (CNBM) by means of phase-type representations.

Original languageEnglish
Pages (from-to)237-249
Number of pages13
JournalJournal of Computational and Applied Mathematics
Volume351
DOIs
Publication statusPublished - 1 May 2019

Keywords

  • Change point
  • Compound random variable
  • Finite Markov chain imbedding approach
  • Phase-type distribution

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