Multivariate Generalized Polya Process

Ji Hwan Cha () and Maxim Finkelstein ()
Additional contact information
Ji Hwan Cha: Ewha Womans University
Maxim Finkelstein: University of the Free State

Chapter Chapter 10 in Point Processes for Reliability Analysis, 2018, pp 329-350 from Springer

Abstract: 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.

Date: 2018
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-319-73540-5_10

Ordering information: This item can be ordered from
http://www.springer.com/9783319735405

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

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().