On Three Parameter Discrete Generalized Inverse Weibull Distribution: Properties and Applications

Bilal Ahmad Para () and Tariq Rashid Jan ()
Additional contact information
Bilal Ahmad Para: University of Kashmir
Tariq Rashid Jan: University of Kashmir

Annals of Data Science, 2019, vol. 6, issue 3, No 9, 549-570

Abstract: Abstract In this paper, a new discrete version of generalized inverse Weibull distribution is proposed using the general approach of discretization. Structural properties of the newly introduced discrete model have been discussed comprehensively. Characterization results have also been made to establish a direct link between the discrete generalized inverse Weibull distribution and its continuous counterpart. Various theorems relating a generalized inverse Weibull distribution with other probability models have also been proved. Finally, a real life count data set from medical sciences is used to illustrate the application of discrete inverse Weibull distribution.

Keywords: Discrete generalized inverse Weibull distribution; Medical sciences; Count data; Monte Carlo simulation; Index of dispersion (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s40745-018-0184-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:aodasc:v:6:y:2019:i:3:d:10.1007_s40745-018-0184-x

Ordering information: This journal article can be ordered from
https://www.springer ... gement/journal/40745

DOI: 10.1007/s40745-018-0184-x

Access Statistics for this article

Annals of Data Science is currently edited by Yong Shi

More articles in Annals of Data Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().