EconPapers    
Economics at your fingertips  
 

A generalisation of geometric distribution

R. N. Rattihalli and S. R. Rattihalli

Communications in Statistics - Theory and Methods, 2023, vol. 52, issue 13, 4400-4413

Abstract: We consider a sequence of independent and identical trinomial experiments and a typical stopping rule. The distribution of the stopping time is obtained by using a recurrence relation. Moments, generating functions and characteristic functions of stopping time are obtained. The parameters are estimated by three different methods and their performance is evaluated using extensive simulation. As applications, it is shown that the model gives a better fit than some of the recently proposed models for a count data set and can be used to develop process control charts. Scope for generalization is indicated.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2021.1994607 (text/html)
Access to full text is restricted to subscribers.

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:taf:lstaxx:v:52:y:2023:i:13:p:4400-4413

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2021.1994607

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:52:y:2023:i:13:p:4400-4413