Multivariate generalized Polya process

Ji Hwan Cha; Maxim Finkelstein

doi:10.1007/978-3-319-73540-5_10

Multivariate generalized Polya process

Ji Hwan Cha, Maxim Finkelstein

Department of Statistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, we introduce the ‘multivariate generalized Polya process (MVGPP)’ recently developed in the literature and discuss its properties. Initially, we define and study bivariate generalized Polya process and briefly discuss the corresponding reliability application. The bivariate generalized Polya process is extended to the multivariate case. We define a new dependence concept for multivariate point processes and, based on it, we analyze the dependence structure of the multivariate generalized Polya process.

Original language	English
Title of host publication	Springer Series in Reliability Engineering
Publisher	Springer London
Pages	329-350
Number of pages	22
Edition	9783319735399
DOIs	https://doi.org/10.1007/978-3-319-73540-5_10
State	Published - 2018

Publication series

Name	Springer Series in Reliability Engineering
Number	9783319735399
Volume	0
ISSN (Print)	1614-7839
ISSN (Electronic)	2196-999X

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© 2018, Springer International Publishing AG.

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10.1007/978-3-319-73540-5_10

Cite this

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Multivariate generalized Polya process

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