EconPapers    
Economics at your fingertips  
 

Counting a Random Event: Traditional Approach and New Perspectives

Enrico Bernardi () and Silvia Romagnoli ()
Additional contact information
Enrico Bernardi: University of Bologna, Department of Statistical Sciences “Paolo Fortunati”
Silvia Romagnoli: University of Bologna, Department of Statistical Sciences “Paolo Fortunati”

Chapter Chapter 4 in Counting Statistics for Dependent Random Events, 2021, pp 77-105 from Springer

Abstract: Abstract The goal of this chapter is to recover the distribution function of a counting random variable representing a countable event defined on a set of multidimensional variables, whose dependence structure is known. After a review of the existing main contributions in counting statistics, we will introduce our new approach to the problem.

Date: 2021
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:sprchp:978-3-030-64250-1_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030642501

DOI: 10.1007/978-3-030-64250-1_4

Access Statistics for this chapter

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

 
Page updated 2026-07-12
Handle: RePEc:spr:sprchp:978-3-030-64250-1_4